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index.html
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<!DOCTYPE html>
<!-- Created by pdf2htmlEX (https://github.com/pdf2htmlEX/pdf2htmlEX) -->
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8"/>
<meta name="generator" content="pdf2htmlEX"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
<style type="text/css">
/*!
* Base CSS for pdf2htmlEX
* Copyright 2012,2013 Lu Wang <[email protected]>
* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}.loading-indicator.active{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.pc.opened{display:block}.bf{position:absolute;border:0;margin:0;top:0;bottom:0;width:100%;height:100%;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}.bi{position:absolute;border:0;margin:0;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}@media print{.pf{margin:0;box-shadow:none;page-break-after:always;page-break-inside:avoid}@-moz-document url-prefix(){.pf{overflow:visible;border:1px solid #fff}.pc{overflow:visible}}}.c{position:absolute;border:0;padding:0;margin:0;overflow:hidden;display:block}.t{position:absolute;white-space:pre;font-size:1px;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%;unicode-bidi:bidi-override;-moz-font-feature-settings:"liga" 0}.t:after{content:''}.t:before{content:'';display:inline-block}.t span{position:relative;unicode-bidi:bidi-override}._{display:inline-block;color:transparent;z-index:-1}::selection{background:rgba(127,255,255,0.4)}::-moz-selection{background:rgba(127,255,255,0.4)}.pi{display:none}.d{position:absolute;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%}.it{border:0;background-color:rgba(255,255,255,0.0)}.ir:hover{cursor:pointer}</style>
<style type="text/css">
/*!
* Fancy styles for pdf2htmlEX
* Copyright 2012,2013 Lu Wang <[email protected]>
* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
*/@keyframes fadein{from{opacity:0}to{opacity:1}}@-webkit-keyframes fadein{from{opacity:0}to{opacity:1}}@keyframes swing{0{transform:rotate(0)}10%{transform:rotate(0)}90%{transform:rotate(720deg)}100%{transform:rotate(720deg)}}@-webkit-keyframes swing{0{-webkit-transform:rotate(0)}10%{-webkit-transform:rotate(0)}90%{-webkit-transform:rotate(720deg)}100%{-webkit-transform:rotate(720deg)}}@media screen{#sidebar{background-color:#2f3236;background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0IiBoZWlnaHQ9IjQiPgo8cmVjdCB3aWR0aD0iNCIgaGVpZ2h0PSI0IiBmaWxsPSIjNDAzYzNmIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDBMNCA0Wk00IDBMMCA0WiIgc3Ryb2tlLXdpZHRoPSIxIiBzdHJva2U9IiMxZTI5MmQiPjwvcGF0aD4KPC9zdmc+")}#outline{font-family:Georgia,Times,"Times New Roman",serif;font-size:13px;margin:2em 1em}#outline ul{padding:0}#outline li{list-style-type:none;margin:1em 0}#outline li>ul{margin-left:1em}#outline a,#outline a:visited,#outline a:hover,#outline a:active{line-height:1.2;color:#e8e8e8;text-overflow:ellipsis;white-space:nowrap;text-decoration:none;display:block;overflow:hidden;outline:0}#outline a:hover{color:#0cf}#page-container{background-color:#9e9e9e;background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1IiBoZWlnaHQ9IjUiPgo8cmVjdCB3aWR0aD0iNSIgaGVpZ2h0PSI1IiBmaWxsPSIjOWU5ZTllIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDVMNSAwWk02IDRMNCA2Wk0tMSAxTDEgLTFaIiBzdHJva2U9IiM4ODgiIHN0cm9rZS13aWR0aD0iMSI+PC9wYXRoPgo8L3N2Zz4=");-webkit-transition:left 500ms;transition:left 500ms}.pf{margin:13px auto;box-shadow:1px 1px 3px 1px #333;border-collapse:separate}.pc.opened{-webkit-animation:fadein 100ms;animation:fadein 100ms}.loading-indicator.active{-webkit-animation:swing 1.5s ease-in-out .01s infinite alternate none;animation:swing 1.5s ease-in-out .01s infinite alternate none}.checked{background:no-repeat url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABYAAAAWCAYAAADEtGw7AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH3goQDSYgDiGofgAAAslJREFUOMvtlM9LFGEYx7/vvOPM6ywuuyPFihWFBUsdNnA6KLIh+QPx4KWExULdHQ/9A9EfUodYmATDYg/iRewQzklFWxcEBcGgEplDkDtI6sw4PzrIbrOuedBb9MALD7zv+3m+z4/3Bf7bZS2bzQIAcrmcMDExcTeXy10DAFVVAQDksgFUVZ1ljD3yfd+0LOuFpmnvVVW9GHhkZAQcxwkNDQ2FSCQyRMgJxnVdy7KstKZpn7nwha6urqqfTqfPBAJAuVymlNLXoigOhfd5nmeiKL5TVTV+lmIKwAOA7u5u6Lped2BsbOwjY6yf4zgQQkAIAcedaPR9H67r3uYBQFEUFItFtLe332lpaVkUBOHK3t5eRtf1DwAwODiIubk5DA8PM8bYW1EU+wEgCIJqsCAIQAiB7/u253k2BQDDMJBKpa4mEon5eDx+UxAESJL0uK2t7XosFlvSdf0QAEmlUnlRFJ9Waho2Qghc1/U9z3uWz+eX+Wr+lL6SZfleEAQIggA8z6OpqSknimIvYyybSCReMsZ6TislhCAIAti2Dc/zejVNWwCAavN8339j27YbTg0AGGM3WltbP4WhlRWq6Q/btrs1TVsYHx+vNgqKoqBUKn2NRqPFxsbGJzzP05puUlpt0ukyOI6z7zjOwNTU1OLo6CgmJyf/gA3DgKIoWF1d/cIY24/FYgOU0pp0z/Ityzo8Pj5OTk9PbwHA+vp6zWghDC+VSiuRSOQgGo32UErJ38CO42wdHR09LBQK3zKZDDY2NupmFmF4R0cHVlZWlmRZ/iVJUn9FeWWcCCE4ODjYtG27Z2Zm5juAOmgdGAB2d3cBADs7O8uSJN2SZfl+WKlpmpumaT6Yn58vn/fs6XmbhmHMNjc3tzDGFI7jYJrm5vb29sDa2trPC/9aiqJUy5pOp4f6+vqeJ5PJBAB0dnZe/t8NBajx/z37Df5OGX8d13xzAAAAAElFTkSuQmCC)}}</style>
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wkJAV8ogv2OSKCQIGWStIg+8swfMkklUw3xhNYNL+7Pvi0Pp5Wj964Zv6GGTMX9OyaNbeHOfz3dX1O1pltGRjEhzrlcm3j8qoYuKoOsJkEbPpRRm0sAlR7LQxhfBiU6aZQHwQ/AAxBtUEWI1jWg5HHbbcKHPJjPycEElzUwB1ADaDo17Em8XjgtmdfuHV337IGdUFu+aLOVN8K+7OPPPzKyvV1O9Zu2N60dgP1CaP7ZKkZA0WNTfGBmWeGD9xOmwXWCBHOtJ+iXFbyFr86+uwzx6oCZ9evCjCHH33s1OPfvrA9p2MTzsdjcL4N1au1II+wDGQyQKbgaQ48zXEuDqTAKptI/wlCmKazP+JP+WX47MIPTaCLF7GVOXxw78HDB1Hh7I/hbAuqVuNXn81hlnWx9FgLstBTKXYmT+3CJ7Uv338fTjx68C/6eTQWHRCLYrRYbaOxsAA+vJiwQQgH2404xBKO3XJFWPh8WCTwiRmaYlwsfEVo0nI6JToxvuHICy8f2t+3LNm+ZN11uarA8KexXfYfPapHaPu6jVvFkf3av8i1pp1MTvchjRAGLTC7hcHURp5jCHGRq32X8qdAjgz/dT307ujou8zhL74Y343t2mcF36GP4EyCQmpAdxeTj3UhY+EU2E0zyNjjmfgMvwJ7HDRbCZRg0AEzFKYQSHD7EMm7wmrhWeTADhacIEWhvKSSTWk4zce/d7h5qGRObdXoTvvetkxqPn5YWzV8R0EnZiecb0dxVbZZBYgnwt1YN5QlRiWAhXZk93hFTgjpCqagrHhlIvi7HiKvnP75H0+faGcOaxpmtL9qe7Ftw9OTWPkQzuZQuVpiQA8M2EBw/lQOcaLICkHjUDhtHAz//GBerzOwN4RmqAm/i4OoQ9UgFHHMAUO9fKGCg0IoFBAlE2wpb0BKNWW8EIp0Y0Z2Ybkey4FS3HV6C1/KVpCNp4/42abVq/sbWT+ofdk3tN2Cw+O7f9f+1Ok///n0U+2/M+X3gnwviqkRF8dc0yte5AWppleo1HgzBqkkrujyfngypLC++07+MBRnfSDpzZlDz86/CIiYlRw8O++iXgso/m/V+6RH9xIheZyDyEGkx1b2ed0smMZWxN1NFYB4NtnUaKAbv699euoUdp7SHjjQ1Tlf7bK/iOc9/+OHH2m44bWtWwfWF+pNo56zIkUReBEzBG+BOlDIWtMi0WW30syVI7wRlQooOQnsL5TZy5j93g3ZhTfOmQtF/d9uuPG3ePnm+mpThpEvXpRSG3jMsBAvFvgDy2xBHGdK4gljIt4rOu16/vigvofM+i7Q1jIp7U/aN773o1u623fOmgMA+/V305p2+TLesL7O6MFR8J0DfFdJ67gfEyYApxOaIFDHCcnTCQjbZB0PST4P5EklrjTquJ4nIE2J1+MZeHrlkALlmNZc7L9347L2dauUWp4sn9N55/Xf6u9b2BJLVM2wsH233mkf2NwyOxT2MDgm5RYs39m3uaEkFAx7CBNJfWflzUYuhMA/UKeBA0TUMlpH8IDebVmcryUCEqCSGGCS0xG/LP7T83j8ecZy8OD45/oZHWDvcjjDjcJqEGoB1jsGGjJQ4pULKNHTvpD/+F+1/759NJ2ZlbnfPnoK57QH1mSza/BW7clTum46J5it1xjQDSJXgPpkpjqQI2RkKkl5y7CUasGQYOSl1x9rFyI21hYReh45DxB/t+Tuqqq7S3B1vn45oLTF4OwwraOSw8hjBmQYCZw3PozComQmMCkkcP6b6CnFC+Tg7keqnVbWEVp454KAm2V9tcd2/WKuw8Y6bbNA+m92DC09gGvod/w0roFMK21ZuzmtfWDoEoWPcT0PoC/qzAfQwlD2YwYDvEkGJiMCieARPXpE0piGBEf8UVw8gV/TPsLh9fjpg+u0FQeNnl4Ndfq3eBz5wJSDXc/5gaW5bVDtgpKVsNhDG0h3ePolApdyxtIgLYwUrlKWhw6KBgnH6EENQ0ko3AJMu8z7nIHnnOoP+DHyhwNh0e20WwTkwz5BbwAGO5ajggKQ9ouQV7wCnRBw/ZO2vtu+zy/OdDVt3fbmd2zsIl+lcqu9X+1d7Zpfs2n+B9rvky23KL3inATY1QqYCzGvAuaK0YuGsi5o0SQUZFggcoZZU6/gSatKQWt3FpKfDILqUlbQVce8aZrBZSNXLAJzXeZKs8uHYc3kbUqRrl4DvFfyiMAH/GKxpxj4AB1S3NhdZCS5LMjQXwRzUlCS+ggh+AN4yeK5rH3PCTJ30ZqRfXuV+r5qJWKfn2Zefaorfdeufd/fv7DjQM0vSg38yBDj1yDGX8cbpb+FNxZvO3x8+4rmjoqKVPO8+rrqear97j03H0kPBDtbmrvKB+caGItDLPAVsSjCHPZ5wfPOfCymXCHXiIWppeE98hWxmDTlmrHI36bpcvWa6bFw2G3UAWYspLwDFMqUTEwavhhbt2PfsrY0N7rfRuaVzSiL1MXqwQ033ZvqfHJ8UcO8/dW/LG1b8F3wA43DhxAHDwqiFnWuG7IYxBFG7zfE6DdTgzHJFv0+rwsUAn082DOVLQIshIgRDZKi4yUu33H0yPrhHbx20Tecbkr2vvUPPdGkrs8dW6tKNpSvm4VbVtXquJDgYy9zHnJ/ULVaQRsbLSzdhk9L853IneX0sk/5vQge43kXD/4MU0oD/XjkGndzqgsE+JBP9MiyKBYJJXpvyExiqBQDrRZzCxasGZpdWxoszqxejW+5ifWv2ubZISwM7dEOQbePTNSDSuPQJxtQMw6q9hILw/JzOMbCUS1toGWtDfOI5Xh2RMCUglBiKlEkWAaRxeLP2nFRERq0Ykq1KFoopJoKe5AgFLb8b3ZHYHfj9N35aDED4CrxK/eqMwvb4AZcLUKbv3a/BeCYU+XkTCWO0eymmc3J5tpEvEFpiJaHQwAHD8yYQAYceWwCGuH/PBMA5+pDV1QBgM7FdAIltHjE9eT16n8msH53bN2uxXWZ0vie/troSz2uHauLI+4lvW+c2FUajc6JylX1LXK8oSEQfKeltbmSLd9Wxfraqlett3+jWF6+wuLyyvuXbsQXquOVVVWV8Wrt/oqg38X7pSbAVyskPwd570E51Ql9H0GLwiJghpgYk/RnBHnuKBWYcRjuFC7SEjKQv5NToTHDgR7ZI+dps14foVOIOrcUxNYTQlfPidFweTAWhoKYa/uV9hauSFb5g9oZvR6l4fMD5jeAMBtabGgSoDWBVuoAlSdmzWE2rPpM7j4y9TKYA122KP88yRx/mGi8sSkZ8LWeiPc0NPQ04DHNxWRqOxKJDr0OTlyYaEGXQa4dUmNAtU5ORYYOYRDPDgK7DWQNLNAxicsDKEQfNzEsGbnqXk6FKuIRnQ59krJjO3/lJJXXrDJdGfaLpdKooeDPnDv5WA3+WCv+NfOXgp5G3Cohbna0VLUYsxXGppIeI2Q02fMDBdWNxsj4Pf1eTn8OdMUUlklRviz4Wx8kx04/88pT22Yzr2p7//Gftfd/smAflQ91MqTLX/iCDQMVN2WLcLTboI4kX9bhGoPvmHoNIIKRRWAJdYUxVOZ5JVTJt46cEG3WIk+F/RmmePxSwMfsdJg2kyjUmnK0VrUXgaNRWYDW5G6jZgQM+qITQDFbJAAfpGQrrBbruKB38+WjcDOnuuFmOSoHrHqhDlqEUmo/UEPI0BZMi7cJWqHw3Qq8prN7SIl31PVmT5SUyXWAY7kOj7V0LlMSIxsMJNdpZ8yvQrw4va/0UVQRRHMsr7lXbyWUF4vT8ov+vjrzrpVfusJT8wt07F5uJhjV7Mr8gj7HWEEfAbmmzobS1NnQ6zVZvwlNNmlUJ7z3zXvuefNe7aXTiRUJ+9FPjhz5RDykdnSoOqfrZEJwLuURN6ougjmkkzcnDG2kO88XYGYzzaXdXW9hfggQIV6i0wDd8Gl8YvqanOrziMhkASDLHZOhg4USkukJs7BKfm+BjlGPzO9cM7xvZWsT12WwsReZJxvmUSqWyt6Lq006RrlQJ8DEsOEukwvZ88ynwEvhCjPlSm7StjzKDOZCfTnVNrOFTONKU9dcZZs3JlPbuHQGbDIpDuSnSAr0Bl/PpRdRipPNsI49Hxn85sX7O9OUUjTPHM/hapPg5LGI79ft+zvTOiAJyGVl6MRiwahTZ90w6eavFqzz6OgwImfOMmH9cZOYnSSp5g2jrID+cixfVuholyeoBkaLu5UqX2k4WD7Xg8dWNSStt/G1M7QPDT19UGNOgZ5RyokDQHskKHIA1KkzuHTFDF4c9HuBgkVxlDParjmEz2AUmMMnyY0+ggNK/j01EpvfvGiutUwMWdjbRvq3dC1Izk5XpQ5ttyux/gbF6hJ5K2EaNrWvau2PxTxBd2Jb+3W6fm7QbxdzF3SKVnWeB/PYixHPUNXoYw/oHMC49GjzPBoS8hqKlCVaLUX6GAEjlTFGxJthCmwFxkUfZfoM6s6sWdnW7Tmwe3driSfYaB9e+8ZN3PHje17LCtt8VP4ckD+Ox6AUDBvhsdqg0LqhGjMAUPMHFI189LxEJ4B6IWYLQ6BkXmVZl3GrMP9By3I5HXa9TgOn5afV6aaMaLDs/xiFKlMc849CONvsv8KN2qWkIpXgxZpr4VLdT3a99o1BJ4+oZVzhGYA45RmADdmk/DMAiU7m4Ary4ydGW0qL2GJ787GTeOzyLZHhmZc1l4GNIJz5X3BmCZ39g1Nnf3Hq7F+CSsRgYfbPn0y/WzAVISt0+Hfh+/Y9WCc4WY81dVfa5WRZB1d7z+6Xq1xW1lWk4LFLNdtG6i5dUlcFNxVf0lyv9y4cTryu6wEkA38JegTpM06fE9J50rwpT/OCKOgJGeO+V0lJxlMOqoAkG68+XNh5/J4nqotKOZYPsOUnj/7giRlCWRHrCMYw+STrara451qzE2isxznHWTKnR/frhMqwINuPGtQ6RxEhea5CcIF/sAb/oORDpx7msGhSj1Y8xd1O/K2asrDPofqE10cXchE2LMw+9rSy4Q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function invert(a){var b=a[0]*a[3]-a[1]*a[2];return[a[3]/b,-a[1]/b,-a[2]/b,a[0]/b,(a[2]*a[5]-a[3]*a[4])/b,(a[1]*a[4]-a[0]*a[5])/b]}function transform(a,b){return[a[0]*b[0]+a[2]*b[1]+a[4],a[1]*b[0]+a[3]*b[1]+a[5]]}function get_page_number(a){return parseInt(a.getAttribute("data-page-no"),16)}function disable_dragstart(a){for(var b=0,c=a.length;b<c;++b)a[b].addEventListener("dragstart",function(){return!1},!1)}
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"px"},view_position:function(){var a=this.page,b=a.parentNode;return[b.scrollLeft-a.offsetLeft-a.clientLeft,b.scrollTop-a.offsetTop-a.clientTop]},height:function(){return this.page.clientHeight},width:function(){return this.page.clientWidth}};function Viewer(a){this.config=clone_and_extend_objs(DEFAULT_CONFIG,0<arguments.length?a:{});this.pages_loading=[];this.init_before_loading_content();var b=this;document.addEventListener("DOMContentLoaded",function(){b.init_after_loading_content()},!1)}
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this.loading_indicator=document.getElementsByClassName(this.config.loading_indicator_cls)[0];for(var a=!0,b=this.outline.childNodes,c=0,e=b.length;c<e;++c)if("ul"===b[c].nodeName.toLowerCase()){a=!1;break}a||this.sidebar.classList.add("opened");this.find_pages();if(0!=this.pages.length){disable_dragstart(document.getElementsByClassName(CSS_CLASS_NAMES.background_image));this.config.key_handler&&this.register_key_handler();var h=this;this.config.hashchange_handler&&window.addEventListener("hashchange",
function(a){h.navigate_to_dest(document.location.hash.substring(1))},!1);this.config.view_history_handler&&window.addEventListener("popstate",function(a){a.state&&h.navigate_to_dest(a.state)},!1);this.container.addEventListener("scroll",function(){h.update_page_idx();h.schedule_render(!0)},!1);[this.outline].concat(Array.from(this.container.querySelectorAll("a.l"))).forEach(function(a){a.addEventListener("click",h.link_handler.bind(h),!1)});this.initialize_radio_button();this.render()}},find_pages:function(){for(var a=
[],b={},c=this.container.childNodes,e=0,h=c.length;e<h;++e){var d=c[e];d.nodeType===Node.ELEMENT_NODE&&d.classList.contains(CSS_CLASS_NAMES.page_frame)&&(d=new Page(d),a.push(d),b[d.num]=a.length-1)}this.pages=a;this.page_map=b},load_page:function(a,b,c){var e=this.pages;if(!(a>=e.length||(e=e[a],e.loaded||this.pages_loading[a]))){var e=e.page,h=e.getAttribute("data-page-url");if(h){this.pages_loading[a]=!0;var d=e.getElementsByClassName(this.config.loading_indicator_cls)[0];"undefined"===typeof d&&
(d=this.loading_indicator.cloneNode(!0),d.classList.add("active"),e.appendChild(d));var f=this,g=new XMLHttpRequest;g.open("GET",h,!0);g.onload=function(){if(200===g.status||0===g.status){var b=document.createElement("div");b.innerHTML=g.responseText;for(var d=null,b=b.childNodes,e=0,h=b.length;e<h;++e){var p=b[e];if(p.nodeType===Node.ELEMENT_NODE&&p.classList.contains(CSS_CLASS_NAMES.page_frame)){d=p;break}}b=f.pages[a];f.container.replaceChild(d,b.page);b=new Page(d);f.pages[a]=b;b.hide();b.rescale(f.scale);
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this.container,b=a.scrollTop,c=a.clientHeight,a=b-c,b=b+c+c,c=this.pages,e=0,h=c.length;e<h;++e){var d=c[e],f=d.page,g=f.offsetTop+f.clientTop,f=g+f.clientHeight;g<=b&&f>=a?d.loaded?d.show():this.load_page(e):d.hide()}},update_page_idx:function(){var a=this.pages,b=a.length;if(!(2>b)){for(var c=this.container,e=c.scrollTop,c=e+c.clientHeight,h=-1,d=b,f=d-h;1<f;){var g=h+Math.floor(f/2),f=a[g].page;f.offsetTop+f.clientTop+f.clientHeight>=e?d=g:h=g;f=d-h}this.first_page_idx=d;for(var g=h=this.cur_page_idx,
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779RZMJAABQfdVi7nWTmprqzhpcP+m9I66c2bpq+W1XzRz7sU+0/Xzt9hUr259ev+Of/+GTudyZbsv3Vwtb9x/oNpkAAADVV40WLl4RQpj90QmPLrnxrkVPpJTObmn8yaotd/75JcfP6Tla3rW7o79vGNva8uDD640kAABQhWr6t2ebt+575NEX1j370twFPxx/wdD5N0x+4Ntz/uQvHvnml64+u6XhjoXLt+84MOm9Iz557cTW0UP+8nPL58+dcv9D6w8dLn590e/v2tOxfceBa6+5cMyoc+oKufZt+0wmAABA9VWRTb/Y9bM126ZOGdk0qO5Tt1/6/Auv3v7pxx7/0U09PeWlP95UX1+or89fMWPshz807jvfezqXi6VS5cDB7t17OhZ99oplj72w/2DXiGHNT/10857Xjvznf+189vmd1938g/EXvOurd88yqwAAANX3zhs35tz/eOZ/LvrA+SGGqVPeM/6CoTMvGb11+/7OrqPNZzW0NDe0NDe8/Mqhr397VbFYunxG64Pf39jYWJj90Qm5XHxu0yt793XOvHTMJVNHTbxweAhh7m1Ll/z9J8wnAABA9VWLpqa6uR+f9DffXXP4cPHBJRsL+dwLv9y9/MkX7//WH72089DI81tWrGzf+cqheR9//57Xjtx+68UjhjVv2brvHx/eeE/rrK7uUlNT3WWXjOlNvhDCiOHNJhMAAFCF7NIe/uxT/3rlzLH7D3SPes/ZV8xobRpUd/ov+VX73qvmPLj1uc/k86d7yKf9+gAAgGqgTML935r9hs7f+PzOqz409vTJBwAAoPqyavL7zy+VK8YBAADIBHd4vmU97Q5PAACgCtilHQAAYCCrrbU+AACAWmOtDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAALz1CjV1tSmlk94ob3o2PLokrFsVtm3Odx4qD2oOo8eFqZela24oTJ4eQux7dozRjAEAALIlvi6EaqX6ylteTF++M796RTzlCMRQvvjysOje/Pj3qT4AAED1Zaz6Sk8+kvvs/FxnRzjN1ceQGgaV73mgMHue6gMAAFRfZqqv9OQj+Tuuj+XSGX0klyt/46HCnBtVHwAAoPoyUH3lLS/Ga6fmjnS8gU81NFaWPZ3/3UmqDwAAUH3VXn2lW64urH6qvxs71/Xkf3k0hRBmNIbWQuX4aaWLLiv8y89i9MhTAAAgY2orY8qbNuRXrzjNb/ke7kjzd1Xm76qs7Y59T8tvXF3esMZ0AQAAVF91e3RJfFNrmzGF8G9LTRcAACBzamu/vrBu1YkxF1KIzxTj+u7QlVIIYWOx/89a6wMAAFRftdu2ue+rnhDn7cot6yj3ea//lcAdW0wXAABA9VW1fOehvi+XdBxLvqH5ePvZubNy6bEjcU1X+dSf7ThougAAAKqvqpUHNec7Dx9/+XT3sZW9W1vil4aUQwovl3Jruvr57OCWgvkCAABkTY09zWX0uL6vhuWP7b/3VGdY2Z1fdzS3q9z/jnyjWk0XAABA9VW1NHVG35cLWtLwQgwhPFesXPlyefqOytLD5X4/POVS0wUAAMicGrtp8Zrrwz/dd/yJLaPylQ0jc985GDcUQ8+Jj3EZlg8h9nm2SwzhI9eZLgAAQObE9Kb2r8uolCqlG68qPLPyhJxLIZzyvs4+55QnTssvWxtzOTMGAADIllrLmBgX3ZsaBp2cdulU/46fUqhPi+8LMZouAACA6qt2+fHvK9/zQDrjVbsUY+kL9xUmTjVXAAAA1ZcNhdnzyt94KDU0htOv3sWQ6upLX/67uusXmCgAAIDqy1T4zbmxsmxtacoHU+w3+coTp5WX/lzyAQAAmVZrT3M56WJTaf3q+PiPwobVYceWfMfB8uCWMKo1TLk0XX1dYfrlJ/2WL/ppHwAAoPoAAACoHrYiAAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAABQ7Qo1dbWztv/1/+fjK0Z/xowBAACyxVofAACA6gMAAED1AQAAUG0KtXzxMYQUT/1+79+UkikCAACovowmXwwhzWq8cHLj6Ncf/e/irh93bTQ/AAAA1ZdVKYaYwgcaR324ecLrj56bG3xS9cUYTRcAAED1Zan7QghrOjfvL3eGkH59X2dIIcRtPa/FFPre3+luTwAAQPVlSUwhxbC22L622N77xtDc4EOVrqOh3LsMCAAAMADU7jM807H/x5yfa/nbEXPvOvcjdSHfe0T3AQAAqi/77RdDinFIbFo87NrzCmdNG9w6PN9iWgAAAKov+2LvT/ni4FT3hfNm/1b9uaVQ+ebux1+q7D92FAAAIPsKtX35sT7lPveuj01ofHclhO/u+cmaYns48bkuAAAAqi+bwZdCCOmGlulTm1pDCDuKe88pNM1tntZ7dPvRvauLm/tmn50bAAAA1ZclvQ/qHJFv6Y250Q1Db2744PGjG45sX13cfML5dm4AAABUX+Zs69n7i65XXv9+e89ukwMAAFB92ZZiWNq5fmnn+t5XJx09aZd2AAAA1Zet5gsnxl485WEAAADVl/30k3kAAMAAlTMEAAAAqm/AOuV+DGf+JgAAQLVXjw0JAAAABjB3eAIAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVN//tnevMXKV5wHHn3OZXe/as7ss+H7HYKAEYkhtCIVwbUWbpJCEJqSQFBpIhVo1hKpVIlVEIYU2JGoQtCSNaJOWAoIG2uZSAiSFgonBGEShQEy5ub6AL7u2Z2cvszszpx9sOYuDESGKtJP5/eQPM+t5P5yj58tf57znAAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAA+MXL2+6I/+6fi2tvjJc3/gxLFsxNLr8krvikcQEAAFpOUhRFeyXfZZ99m2fqrz8Xl19iYgAAANU3dRXLTvrZrvJNtnhB8vIaEwMAAKi+KVx96cKf62Q1N5oYAACgtbTv01yS4i18LpfjvWfFgnn7/R0AAED1TXVFcoDPpTxO+tWYNTM+em6xYU3c9KX43XP2+w0AAECryJ2CvRbOj86OOHxp/NN1UcrjizfG3Nlx1XWxbIlzAwAAqL6WdfSRsXxp/OvdcfHvxONPx5knx5e/FtM6Y+OWmDs7rvhklKfHB72zAQAAUH0tpDwjPvOHyVmnFD9cHdsH4sjDkrvuLu5fE41mRCQT9eKLN0ZErDou+db3in+7JybqYV8fAADQmtpyX995743TTyq+e1+MT+z5Q5FEfOxDsfKdez//yhGxckVEFIctjRuviaOXh319AABAa2rLa31ZFt1d8b+vxN33x+9/ZP//XXVcfPi3Y9fumDcnBnfG1dfH7d8xKAAAgOprHd/9Qbz7XXHNZ+LUE+P5lyLL4ohlERGrVsSyxbHynTG4K26+M664Kp5Zb0QAAICW1q5vaU/T5E8vK1atiE2vxh9dlEzUiyyNiPjB6uQbtxf/fm/UahGRFD+5sTMpIgpvaQcAAFpMW17r+60z4x+/UvT3/aQGX9sef39rfONfYtOWyRG83zv97OwDAABUXyuYPyf2JF+jGd+/P266Lb73n9GomwYAAED1/bLYsjVuui1uui02v2oIAACAX2Jtua+vtzeqw0m9PnnP3lv5bF8fAADQcsZnHGkAABHnSURBVNryWt/u3fFTe/beymf7+gAAgJbTZm9pXzD37a+dfYhxAQAAVN+Ullx+ydtfe9nHjQsAANBy2uwOz09fmjSbxfX/EJtefYt7+YokYvYhyWUfjz//lHEBAABaTns9zQUAAKDdpE4BAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKrPKQAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAIBfuLzNj7/RaDz33HPVavWoo44qiiLLsmeffbanp2fJkiVdXV3mAwAAaHVJURTteeTNZnPdunVz5sxJ07SjVMqyLEnTJEn2npckGRgYmD9//rRp00wJAACg+lpMtVp9+eWXe3t7S6VSKc/TNE3SN7jZNcuySqWyYMECgwIAAKi+llGpVKrValEUpTzPsixN00iSol575ZnHZvTPmbnwsNedoCQZGhpauHChWQEAAFRfa1i/fn1vT0+e52maTtRGXlu/trbjxV2vbXzh5c0D1fr7Lv6TJUceGxHN+kQRRZZ3pGlaKpW6u7uNCwAA0HLa7mkuTz/11OzZs7M8T5Pk+Sd/9OQP7+jtLvXO6Nq5qzI8MvboY+ujcc0nPva+sdHaps3bHnzkuQ9/+uqZ8xZu2rRp+fLlxgUAAGg5bXetb+fgYBGRJMnjD9371b+6as7B5RXHHNpX7m7U630902ce0ntIf7mU5/Vmc2DnyMbN248++5L+eUuTJEmSpLe318QAAACtpb3e17dhw4aISJJkeKjy1S/95dbtu2bOPGh4tDY8Nt45rbOjsyOKqFbHqsMjtdr44I7BvsUr+uctjYiiKLZu3WpcAACAltNed3gODQ319PRExOM/emjb9sFms7ljYHeep3mW5WlayrIsSytD1YEdu7ZtHyz1zfvAR87dt3b69OnGBQAAUH1TWqVSmT9/fkS8+MILaZI0I3Zs3zm9uzPPszxP9zzRs2dG16JFc5YeefTiU38vy0v71pbLZeMCAACovimtXq/v+TB/8ZKJeqNc7k6yfHhsomN4LM+yPMvyLM3ztKfcPW/FWVmpc/LaZrNpXAAAgJbTXvv68nxv5b7nzN/o6C5XR2rDtYmh6ujQ8Fh1eGz30Mju6kh1pNZx8KHTDjl036qiKOr1eqPRMC4AAIDqm9L2bOqLiGldXX9x3d82Intt+64t23Zt2bbztR27BndVK9XRkbH6nGPO3Lek0WjU6/Xx8fGBgQHjAgAAqL4pbfLevKNXHHfltV8Zn6iPjI4NDY9VqmPV4bGh4bEZc5ZNK/dHRLPZrNfr9Xq9VqvVarWJiQnjAgAAtJz22te3ePHiSqWy717Nd596+h9cdmwRnQODpW1bhmsjozP6izQfnKgNpHnfnqt8ExMTExMT9Xp9z2NgAAAAVN+UtnHjxnnz5u37enB5xuyF03tnzi/3Lc47+ra8eF/eUdn+f7f0zDy9yJbsubdzfHy8Vqv19fUZFwAAoOUkRVG02zFv2LBh3wa/S1edMT48vPyIWceftvzED75nbGzzcGVDd3led3lOUTphtNZRq9XSND388MO9rw8AAGhFeRsec39/f7PZbDabI7srUR3ujNj8422V9duevuWJlR86duEZ3Xt+VspeGxg5pNlszp49W/IBAAAtKm3DYy6Xy3meVyqVlx57or8oZkXMTaIvSYrhsf+5ee1Tn//v2tZaRHSUxjs6irlz5y5ZssSgAAAAqq+VTJ8+fdGiRdWk6JzVvz2pbYrx8WgcnBTliLENu57/7D3DL1a2DvQsXXrkokWLTAkAANC62nFf32Rjo6MPfP+eZx5cXR6tdw0Ozjq4f1tnafFJJxz762f2HXSQ+QAAAFQfAAAAU1fqFAAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+pwCAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAADBF5G11tEVR7PeHxtOPx7dvjbUPxisvZCOVRlc5Fi+LlScX7/9oftyJEcnkXydJYmIAAIDWkvxUCLVL9TVeWl984VPZ6vuSNzwDSTROOC2uvD5b/g7VBwAAqL4Wq776PXelf3ZROlKNNzn6JIrOrsbVX8/PuUD1AQAAqq9lqq9+z13ZH5+fNOpvaUmaNq79Zn7uhaoPAABQfS1QfY2X1icfWJkOV3+GVZ3Tmnc+kh15rOoDAABU31SvvvrFZ+er7z3QjZ1rx7MfTxQRccq0WJo39/2s/q6T89v/K0k88hQAAGgx7ZUxjafXZavve5O9fLdUi4u2Ni/a2lwzlkz+WfbE6sa6h40LAACg+qa2b9+avK1rm0kR8R93GBcAAKDltNf7+mLtg6+PuSgiebSWPDYWo0UREU/UDrzWtT4AAED1TXWvvDD523gkF2xN76w2Jv3twFcCN75kXAAAANU3pWUjlclfb63uTb6Ds+Sy3nRGWnxnOHl4tPHGa6u7jQsAAKD6prRGVzkbGdr39ZGxvVf2PtGTXHVQI4rYXE8fHj3A2uk9uXkBAABaTZs9zWXxssnfZmV7379370g8MJatnUi3Ng78Rr6FS40LAACg+qa0YuUpk79e2lPMzpOIeLLWPGNz48SNzTuGGgdcfPxJxgUAAGg5bXbT4vvPj5tv2PfEloVZc92C9G92J+tqMf76x7jMyiKSSc92SSJ+8zzjAgAAtJykeFvvr2tRRdGsX3hm/ugDr8u5IuIN7+uc9JvGMauyO9ckaWpiAACA1tJuGZMkV15fdHbtn3bFG/3b95O8o/j8DZEkxgUAAFB9U122/B2Nq79evOWrdkWS1D93Q37MSrMCAACovtaQn3NB49pvFp3T4s2v3iVRlDrqX/ha6fxLDQoAAKD6Wir8zr2weeea+vG/ViQHTL7GMasadzwk+QAAgJbWbk9z2e9gi/pjq5O7vxXrVsfGl7Lq7sb0nli4NI4/qTj7vPzE0/bby5fY2gcAAKg+AAAApg6vIgAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAPDz+X+sLSnDsDrSYAAAAABJRU5ErkJggg=="/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Romain<span class="_ _0"> </span><span class="ff2 fc1">Gallet</span></div><div class="t m0 x2 h3 y2 ff3 fs1 fc2 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _2"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _2"> </span><span class="_ _2"> </span><span class="_ _1"> </span></div><div class="t m0 x3 h4 y3 ff4 fs2 fc1 sc0 ls0 ws0">Ħ<span class="_ _1"> </span><span class="ff5">(+352)<span class="_ _4"> </span>661<span class="_ _5"> </span>54<span class="_ _5"> </span>72<span class="_ _5"> </span>73<span class="_ _6"> </span>|<span class="_ _6"> </span></span>ć<span class="_ _1"> </span><span class="ff5">[email protected]<span class="_ _6"> </span>|<span class="_ _6"> </span><span class="ff6">^<span class="_ _1"> </span></span>grumlimited<span class="_ _6"> </span>|<span class="_ _6"> </span><span class="ff6">]<span class="_ _4"> </span></span>romaingallet</span></div><div class="t m0 x4 h5 y4 ff7 fs3 fc2 sc0 ls0 ws0">Ser<span class="fc1">vic<span class="_ _3"></span>es</span></div><div class="t m0 x4 h6 y5 ff8 fs4 fc1 sc0 ls0 ws0">15+<span class="_ _7"> </span>years<span class="_ _7"> </span>of<span class="_ _7"> </span>expertise<span class="_ _7"> </span>in<span class="_ _7"> </span>designing<span class="_ _7"> </span>and<span class="_ _7"> </span>implementing<span class="_ _7"> </span>high‑av<span class="_ _3"></span>ailability<span class="_ _7"> </span>streaming<span class="_ _7"> </span>da<span class="_ _3"></span>ta<span class="_ _7"> </span>architec<span class="_ _3"></span>tures,<span class="_ _8"> </span>enhancing<span class="_ _7"> </span>client<span class="_ _7"> </span>infras<span class="_ _3"></span>tructures<span class="_ _7"> </span>to<span class="_ _7"> </span>mee<span class="_ _3"></span>t</div><div class="t m0 x4 h6 y6 ff8 fs4 fc1 sc0 ls0 ws0">str<span class="_ _3"></span>ategic<span class="_ _1"> </span>fast<span class="_ _1"> </span>and<span class="_ _9"> </span>big<span class="_ _4"> </span>data<span class="_ _1"> </span>objectives.<span class="_ _7"> </span>Specialized<span class="_ _4"> </span>in<span class="_ _9"> </span>devops<span class="_ _4"> </span>methodologies,<span class="_ _4"> </span>utilising<span class="_ _9"> </span>Kuberne<span class="_ _3"></span>tes,<span class="_ _4"> </span>T<span class="_ _3"></span>erraform,<span class="_ _1"> </span>Kafka,<span class="_ _9"> </span>and<span class="_ _4"> </span>Kinesis<span class="_ _4"> </span>to<span class="_ _4"> </span>productionise</div><div class="t m0 x4 h6 y7 ff8 fs4 fc1 sc0 ls0 ws0">cloud‑based<span class="_ _1"> </span>ETLs<span class="_ _9"> </span>and<span class="_ _4"> </span>real‑<span class="_ _3"></span>time<span class="_ _4"> </span>stre<span class="_ _3"></span>aming<span class="_ _4"> </span>processes.<span class="_ _7"> </span>Proficient<span class="_ _1"> </span>in<span class="_ _4"> </span>Java,<span class="_ _4"> </span>Scala<span class="_ _4"> </span>and<span class="_ _4"> </span>Rust<span class="_ _4"> </span>soware<span class="_ _1"> </span>de<span class="_ _a"></span>velopment,<span class="_ _4"> </span>craing<span class="_ _4"> </span>robust<span class="_ _1"> </span>applications<span class="_ _4"> </span>with</div><div class="t m0 x4 h6 y8 ff8 fs4 fc1 sc0 ls0 ws0">Akka,<span class="_ _4"> </span>FS2,<span class="_ _1"> </span>Kafka<span class="_ _4"> </span>Stre<span class="_ _3"></span>ams,<span class="_ _4"> </span>and<span class="_ _4"> </span>Spark<span class="_ _a"></span>,<span class="_ _4"> </span>from<span class="_ _4"> </span>initial<span class="_ _4"> </span>requirements<span class="_ _1"> </span>to<span class="_ _4"> </span>final<span class="_ _4"> </span>deployment.<span class="_ _7"> </span>Engineering<span class="_ _4"> </span>CI/CD<span class="_ _4"> </span>pipelines<span class="_ _4"> </span>to<span class="_ _4"> </span>ensure<span class="_ _4"> </span>the<span class="_ _4"> </span>rapid,<span class="_ _4"> </span>well<span class="_ _4"> </span>tes<span class="_ _3"></span>ted,</div><div class="t m0 x4 h6 y9 ff8 fs4 fc1 sc0 ls0 ws0">reliable<span class="_ _1"> </span>deliver<span class="_ _a"></span>y<span class="_ _4"> </span>of<span class="_ _4"> </span>complex<span class="_ _4"> </span>soware<span class="_ _1"> </span>systems,<span class="_ _1"> </span>reinforcing<span class="_ _1"> </span>a<span class="_ _4"> </span>culture<span class="_ _1"> </span>of<span class="_ _4"> </span>continuous<span class="_ _4"> </span>improvement<span class="_ _1"> </span>and<span class="_ _4"> </span>innovation.</div><div class="t m0 x4 h5 ya ff7 fs3 fc2 sc0 ls0 ws0">Spe<span class="fc1">cialisa<span class="_ _3"></span>tions</span></div><div class="t m0 x5 h7 yb ff7 fs5 fc3 sc0 ls0 ws0">Devops<span class="_ _b"> </span><span class="ff8 fs4 fc1">aws<span class="_ _c"> </span>docker<span class="_ _c"> </span>kuberne<span class="_ _3"></span>tes<span class="_ _c"> </span>terraf<span class="_ _3"></span>orm<span class="_ _c"> </span>cloudformation<span class="_ _c"> </span>jenkins<span class="_ _c"> </span>circleci<span class="_ _c"> </span>arg<span class="_ _3"></span>ocd</span></div><div class="t m0 x6 h7 yc ff7 fs5 fc3 sc0 ls0 ws0">Back<span class="_ _3"></span>end<span class="_ _d"> </span><span class="ff8 fs4 fc1">kafka<span class="_ _c"> </span>kinesis<span class="_ _c"> </span>ksqldb<span class="_ _c"> </span>mong<span class="_ _3"></span>odb<span class="_ _c"> </span>dynamodb<span class="_ _c"> </span>rdbms<span class="_ _c"> </span>amqp<span class="_ _c"> </span>jms</span></div><div class="t m0 x7 h7 yd ff7 fs5 fc3 sc0 ls0 ws0">Observability<span class="_ _b"> </span><span class="ff8 fs4 fc1">opentelemetry<span class="_ _c"> </span>datadog<span class="_ _c"> </span>smithy<span class="_ _c"> </span>openapi<span class="_ _c"> </span>swagg<span class="_ _3"></span>er</span></div><div class="t m0 x8 h7 ye ff7 fs5 fc3 sc0 ls0 ws0">Progr<span class="_ _3"></span>amming<span class="_ _d"> </span><span class="ff8 fs4 fc1">scala<span class="_ _c"> </span>jav<span class="_ _3"></span>a<span class="_ _c"> </span>groovy<span class="_ _c"> </span>rust<span class="_ _c"> </span>g<span class="_ _3"></span>o<span class="_ _c"> </span>python<span class="_ _c"> </span>cats<span class="_ _c"> </span>fs2<span class="_ _c"> </span>http4s<span class="_ _c"> </span>play</span></div><div class="t m0 x4 h7 yf ff7 fs5 fc3 sc0 ls0 ws0">Dat<span class="_ _3"></span>a<span class="_ _4"> </span>engineering<span class="_ _d"> </span><span class="ff8 fs4 fc1">etl<span class="_ _c"> </span>spark<span class="_ _c"> </span>sp<span class="_ _3"></span>ark<span class="_ _1"> </span>stre<span class="_ _3"></span>aming<span class="_ _c"> </span>kafka<span class="_ _1"> </span>str<span class="_ _3"></span>eams<span class="_ _c"> </span>akka<span class="_ _1"> </span>s<span class="_ _3"></span>treams<span class="_ _c"> </span>flink<span class="_ _c"> </span>pii<span class="_ _c"> </span>gdpr</span></div><div class="t m0 x4 h5 y10 ff7 fs3 fc2 sc0 ls0 ws0">Con<span class="fc1">sulting</span></div><div class="t m0 x9 h7 y11 ff7 fs5 fc3 sc0 ls0 ws0">Disney<span class="_ _4"> </span>stre<span class="_ _3"></span>aming<span class="_ _e"> </span><span class="ff9 fs4 fc2">Luxembour<span class="_ _3"></span>g</span></div><div class="t m0 x4 h8 y12 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _5"> </span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _f"> </span><span class="ff9">October<span class="_ _1"> </span>2022<span class="_ _1"> </span>‑<span class="_ _1"> </span>present</span></div><div class="t m0 x4 h9 y13 ffa fs6 fc4 sc0 ls0 ws0">dynamodb<span class="_ _10"> </span>databricks<span class="_ _8"> </span>http4s<span class="_ _10"> </span>kinesis<span class="_ _10"> </span>openid<span class="_ _10"> </span>open‑telemetry<span class="_ _10"> </span>rest<span class="_ _8"> </span>sso<span class="_ _10"> </span>terraform</div><div class="t m0 x4 h6 y14 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Architec<span class="_ _3"></span>tured<span class="_ _4"> </span>a<span class="_ _4"> </span>solution<span class="_ _4"> </span>handling<span class="_ _1"> </span>over<span class="_ _4"> </span>800<span class="_ _4"> </span>million<span class="_ _4"> </span>users,<span class="_ _4"> </span>scaling<span class="_ _4"> </span>up<span class="_ _1"> </span>to<span class="_ _4"> </span>250k<span class="_ _4"> </span>request<span class="_ _3"></span>s<span class="_ _4"> </span>per<span class="_ _4"> </span>second.</div><div class="t m0 x4 h6 y15 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Engineered<span class="_ _1"> </span>a<span class="_ _4"> </span>single<span class="_ _4"> </span>sign‑on<span class="_ _4"> </span>(sso,<span class="_ _4"> </span>openid)<span class="_ _1"> </span>backend<span class="_ _4"> </span>over<span class="_ _1"> </span>openapi<span class="_ _4"> </span>and<span class="_ _4"> </span>smithy4s,<span class="_ _4"> </span>and<span class="_ _4"> </span>kinesis<span class="_ _4"> </span>and<span class="_ _4"> </span>dynamodb<span class="_ _4"> </span>str<span class="_ _3"></span>eams.</div><div class="t m0 x4 h6 y16 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Developed<span class="_ _4"> </span>a<span class="_ _4"> </span>pairwise<span class="_ _4"> </span>pseudonymous<span class="_ _4"> </span>identifiers<span class="_ _4"> </span>(ppid)<span class="_ _4"> </span>syst<span class="_ _3"></span>em<span class="_ _4"> </span>with<span class="_ _4"> </span>http4s<span class="_ _1"> </span>and<span class="_ _4"> </span>dynamodb.</div><div class="t m0 xa h7 y17 ff7 fs5 fc3 sc0 ls0 ws0">Depop<span class="_ _12"> </span><span class="ff9 fs4 fc2">Luxembour<span class="_ _3"></span>g</span></div><div class="t m0 x4 h8 y18 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _5"> </span><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _13"> </span><span class="ff9">March<span class="_ _1"> </span>2022<span class="_ _1"> </span>‑<span class="_ _1"> </span>September<span class="_ _1"> </span>2022</span></div><div class="t m0 x4 h9 y19 ffa fs6 fc4 sc0 ls0 ws0">aws<span class="_ _10"> </span>databricks<span class="_ _8"> </span>kafka‑streams<span class="_ _8"> </span>ksql<span class="_ _10"> </span>spark<span class="_ _1"> </span>streaming<span class="_ _8"> </span>terraform</div><div class="t m0 x4 h6 y1a ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Engineered<span class="_ _1"> </span>ksql<span class="_ _4"> </span>and<span class="_ _4"> </span>spark<span class="_ _1"> </span>streaming<span class="_ _1"> </span>pipelines<span class="_ _4"> </span>to<span class="_ _4"> </span>produc<span class="_ _3"></span>e<span class="_ _4"> </span>enriched<span class="_ _4"> </span>unified<span class="_ _4"> </span>dat<span class="_ _3"></span>asets.</div><div class="t m0 x4 h6 y1b ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Delivered<span class="_ _1"> </span>materialised<span class="_ _4"> </span>str<span class="_ _3"></span>eamed<span class="_ _4"> </span>dat<span class="_ _3"></span>asets<span class="_ _1"> </span>with<span class="_ _4"> </span>sub‑15‑minute<span class="_ _4"> </span>views<span class="_ _4"> </span>(delta<span class="_ _4"> </span>t<span class="_ _3"></span>ables)<span class="_ _4"> </span>for<span class="_ _4"> </span>OLAP<span class="_ _4"> </span>queries<span class="_ _4"> </span>utilising<span class="_ _4"> </span>dbt,<span class="_ _4"> </span>spark,<span class="_ _4"> </span>and<span class="_ _4"> </span>athena.</div><div class="t m0 xa h7 y1c ff7 fs5 fc3 sc0 ls0 ws0">Zeg<span class="_ _3"></span>o<span class="_ _14"> </span><span class="ff9 fs4 fc2">Luxembour<span class="_ _3"></span>g</span></div><div class="t m0 x4 h8 y1d ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _5"> </span><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _15"> </span><span class="ff9">Nov<span class="_ _1"> </span>2021<span class="_ _1"> </span>‑<span class="_ _1"> </span>Aug<span class="_ _1"> </span>2022</span></div><div class="t m0 x4 h9 y1e ffa fs6 fc4 sc0 ls0 ws0">akka<span class="_ _5"> </span>streams<span class="_ _8"> </span>api<span class="_ _c"> </span>grpc<span class="_ _8"> </span>kinesis<span class="_ _10"> </span>rest<span class="_ _10"> </span>websockets<span class="_ _8"> </span>terraform</div><div class="t m0 x4 h6 y1f ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Engineered<span class="_ _5"> </span>architecture<span class="_ _5"> </span>integra<span class="_ _3"></span>ting<span class="_ _1"> </span>third‑party<span class="_ _5"> </span>vehicle<span class="_ _1"> </span>and<span class="_ _5"> </span>insurance<span class="_ _5"> </span>data<span class="_ _5"> </span>over<span class="_ _1"> </span>rest<span class="_ _5"> </span>apis,<span class="_ _1"> </span>grpc,<span class="_ _1"> </span>p,<span class="_ _1"> </span>and<span class="_ _5"> </span>websockets,<span class="_ _1"> </span>leveraging<span class="_ _5"> </span>kinesis<span class="_ _1"> </span>and<span class="_ _1"> </span>akka‑</div><div class="t m0 xb h6 y20 ff8 fs4 fc1 sc0 ls0 ws0">str<span class="_ _3"></span>eams<span class="_ _4"> </span>for<span class="_ _1"> </span>data<span class="_ _1"> </span>flows.</div><div class="t m0 x4 h6 y21 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Orches<span class="_ _3"></span>trated<span class="_ _1"> </span>ci/<span class="_ _3"></span>cd<span class="_ _4"> </span>pipelines<span class="_ _1"> </span>with<span class="_ _4"> </span>kubernetes,<span class="_ _1"> </span>argocd,<span class="_ _1"> </span>and<span class="_ _4"> </span>buildkite<span class="_ _4"> </span>for<span class="_ _1"> </span>the<span class="_ _4"> </span>deployment<span class="_ _4"> </span>and<span class="_ _4"> </span>scaling<span class="_ _1"> </span>of<span class="_ _4"> </span>microser<span class="_ _a"></span>vices<span class="_ _4"> </span>and<span class="_ _1"> </span>stream<span class="_ _1"> </span>processors.</div><div class="t m0 xa h7 y22 ff7 fs5 fc3 sc0 ls0 ws0">Slic<span class="_ _3"></span>e<span class="_ _16"> </span><span class="ff9 fs4 fc2">Luxembour<span class="_ _3"></span>g</span></div><div class="t m0 x4 h8 y23 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _5"> </span><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _17"> </span><span class="ff9">Apr<span class="_ _1"> </span>2021<span class="_ _1"> </span>‑<span class="_ _1"> </span>Oct<span class="_ _4"> </span>2021</span></div><div class="t m0 x4 h9 y24 ffa fs6 fc4 sc0 ls0 ws0">confluent<span class="_ _8"> </span>databricks<span class="_ _10"> </span>kafka‑str<span class="_ _3"></span>eams<span class="_ _10"> </span>ksqldb<span class="_ _10"> </span>spark<span class="_ _4"> </span>streaming<span class="_ _8"> </span>terraform</div><div class="t m0 x4 h6 y25 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Spearhe<span class="_ _3"></span>aded<span class="_ _4"> </span>migration<span class="_ _1"> </span>to<span class="_ _4"> </span>a<span class="_ _1"> </span>high‑throughput,<span class="_ _4"> </span>stre<span class="_ _3"></span>am‑oriented<span class="_ _1"> </span>data<span class="_ _1"> </span>processing<span class="_ _4"> </span>architec<span class="_ _3"></span>ture.</div><div class="t m0 x4 h6 y26 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Provided<span class="_ _1"> </span>guidance<span class="_ _4"> </span>and<span class="_ _4"> </span>led<span class="_ _1"> </span>the<span class="_ _4"> </span>de<span class="_ _a"></span>velopment<span class="_ _4"> </span>of<span class="_ _4"> </span>str<span class="_ _3"></span>eam<span class="_ _4"> </span>proc<span class="_ _3"></span>essors<span class="_ _4"> </span>on<span class="_ _4"> </span>aws<span class="_ _4"> </span>and<span class="_ _4"> </span>confluent<span class="_ _1"> </span>platforms.</div><div class="t m0 x4 h6 y27 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Designed<span class="_ _4"> </span>ci/<span class="_ _3"></span>cd<span class="_ _1"> </span>pipelines<span class="_ _4"> </span>for<span class="_ _4"> </span>str<span class="_ _3"></span>eaming<span class="_ _4"> </span>dat<span class="_ _3"></span>a<span class="_ _4"> </span>(kafka‑str<span class="_ _3"></span>eams,<span class="_ _1"> </span>spark<span class="_ _4"> </span>stre<span class="_ _3"></span>aming,<span class="_ _4"> </span>ksqldb)<span class="_ _4"> </span>from<span class="_ _1"> </span>databricks<span class="_ _1"> </span>to<span class="_ _4"> </span>confluent.</div><div class="t m0 xa h7 y28 ff7 fs5 fc3 sc0 ls0 ws0">Compare<span class="_ _4"> </span>The<span class="_ _4"> </span>Marke<span class="_ _3"></span>t<span class="_ _18"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y29 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _5"> </span><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _19"> </span><span class="ff9">Jan<span class="_ _1"> </span>2020<span class="_ _1"> </span>‑<span class="_ _1"> </span>Mar<span class="_ _4"> </span>2021</span></div><div class="t m0 x4 h9 y2a ffa fs6 fc4 sc0 ls0 ws0">ec2<span class="_ _10"> </span>eks<span class="_ _10"> </span>emr<span class="_ _10"> </span>kafka<span class="_ _5"> </span>streams<span class="_ _8"> </span>mongodb<span class="_ _10"> </span>msk<span class="_ _10"> </span>terraform</div><div class="t m0 x4 h6 y2b ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Designed<span class="_ _4"> </span>the<span class="_ _1"> </span>architecture<span class="_ _1"> </span>and<span class="_ _4"> </span>str<span class="_ _3"></span>ategy<span class="_ _4"> </span>for<span class="_ _1"> </span>a<span class="_ _4"> </span>streaming<span class="_ _1"> </span>infras<span class="_ _3"></span>tructure,<span class="_ _4"> </span>promoting<span class="_ _1"> </span>it<span class="_ _4"> </span>to<span class="_ _1"> </span>architecture<span class="_ _1"> </span>design<span class="_ _4"> </span>forums<span class="_ _1"> </span>(adf<span class="_ _1a"></span>)<span class="_ _4"> </span>and<span class="_ _1"> </span>stakeholders.</div><div class="t m0 x4 h6 y2c ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Defined<span class="_ _4"> </span>and<span class="_ _1"> </span>implemented<span class="_ _4"> </span>timelines<span class="_ _4"> </span>and<span class="_ _4"> </span>workflows<span class="_ _4"> </span>for<span class="_ _1"> </span>the<span class="_ _4"> </span>deployment<span class="_ _4"> </span>of<span class="_ _4"> </span>proposed<span class="_ _4"> </span>technical<span class="_ _1"> </span>solutions.</div><div class="t m0 x4 h6 y2d ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Orches<span class="_ _3"></span>trated<span class="_ _1"> </span>ci/<span class="_ _3"></span>cd<span class="_ _4"> </span>pipelines<span class="_ _1"> </span>for<span class="_ _4"> </span>stre<span class="_ _3"></span>aming<span class="_ _4"> </span>data<span class="_ _1"> </span>flows<span class="_ _4"> </span>over<span class="_ _4"> </span>kafka‑s<span class="_ _3"></span>treams,<span class="_ _1"> </span>akka‑stre<span class="_ _3"></span>ams,<span class="_ _4"> </span>and<span class="_ _4"> </span>spark<span class="_ _1"> </span>stre<span class="_ _3"></span>aming<span class="_ _4"> </span>on<span class="_ _4"> </span>emr,<span class="_ _1"> </span>ec2,<span class="_ _4"> </span>eks,<span class="_ _4"> </span>and<span class="_ _4"> </span>msk.</div><div class="t m0 xa h7 y2e ff7 fs5 fc3 sc0 ls0 ws0">Depop<span class="_ _1b"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y2f ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _1c"> </span><span class="ff9">June<span class="_ _1"> </span>2019<span class="_ _1"> </span>‑<span class="_ _1"> </span>Dec<span class="_ _4"> </span>2019</span></div><div class="t m0 xc h9 y30 ffa fs6 fc4 sc0 ls0 ws0">akka<span class="_ _5"> </span>streams<span class="_ _8"> </span>kinesis<span class="_ _c"> </span>rabbitmq<span class="_ _8"> </span>redshi<span class="_ _8"> </span>terraform</div><div class="t m0 x4 h6 y31 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Designed<span class="_ _4"> </span>str<span class="_ _3"></span>eamed<span class="_ _4"> </span>aws<span class="_ _1"> </span>redshi<span class="_ _4"> </span>and<span class="_ _4"> </span>rabbitmq<span class="_ _1"> </span>data<span class="_ _1"> </span>ingestion<span class="_ _1"> </span>pipelines<span class="_ _4"> </span>over<span class="_ _4"> </span>kinesis<span class="_ _4"> </span>and<span class="_ _4"> </span>akka‑s<span class="_ _3"></span>treams<span class="_ _1"> </span>data<span class="_ _1"> </span>processors.</div><div class="t m0 x4 h6 y32 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Coordinat<span class="_ _3"></span>ed<span class="_ _4"> </span>and<span class="_ _4"> </span>coached<span class="_ _1"> </span>team<span class="_ _1"> </span>members<span class="_ _4"> </span>around<span class="_ _1"> </span>streaming<span class="_ _1"> </span>data<span class="_ _1"> </span>processes<span class="_ _1"> </span>and<span class="_ _4"> </span>technologies.</div><div class="t m0 x4 h6 y33 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Resear<span class="_ _3"></span>ch<span class="_ _4"> </span>and<span class="_ _4"> </span>identification<span class="_ _1"> </span>of<span class="_ _4"> </span>opportunities<span class="_ _4"> </span>(kafka<span class="_ _1"> </span>stre<span class="_ _3"></span>ams,<span class="_ _4"> </span>samza),<span class="_ _1"> </span>de<span class="_ _a"></span>veloping<span class="_ _4"> </span>proposals<span class="_ _1"> </span>and<span class="_ _4"> </span>recommendations.</div><div class="t m0 xd h8 y34 ff3 fs6 fc5 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1d"> </span><span class="_ _1d"> </span><span class="_ _1e"></span><span class="_ _1f"> </span></div><a class="l" href="tel:+352661\protect \protect \leavevmode@ifvmode \kern +.1667em\relax 54\protect \protect \leavevmode@ifvmode \kern +.1667em\relax 72\protect \protect \leavevmode@ifvmode \kern +.1667em\relax 73"><div class="d m1" style="border-style:none;position:absolute;left:235.675500px;bottom:1150.384500px;width:63.587000px;height:7.940000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="mailto:[email protected]"><div class="d m1" style="border-style:none;position:absolute;left:353.848500px;bottom:1150.384500px;width:85.740000px;height:7.940000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/grumlimited"><div class="d m1" style="border-style:none;position:absolute;left:505.251000px;bottom:1150.384500px;width:43.818000px;height:7.940000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.linkedin.com/in/romaingallet"><div class="d m1" style="border-style:none;position:absolute;left:593.772000px;bottom:1150.384500px;width:45.220000px;height:7.940000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.500000,0.000000,0.000000,1.500000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 xa h7 y35 ff7 fs5 fc3 sc0 ls0 ws0">The<span class="_ _4"> </span>Guardian<span class="_ _20"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y36 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _21"> </span><span class="ff9">Oct<span class="_ _1"> </span>2018<span class="_ _1"> </span>‑<span class="_ _1"> </span>May<span class="_ _4"> </span>2019</span></div><div class="t m0 x4 h9 y37 ffa fs6 fc4 sc0 ls0 ws0">cloudformation<span class="_ _8"> </span>eks<span class="_ _10"> </span>etl<span class="_ _10"> </span>kafka‑str<span class="_ _3"></span>eams<span class="_ _10"> </span>msk<span class="_ _10"> </span>spark</div><div class="t m0 x4 h6 y38 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Implementa<span class="_ _3"></span>tion<span class="_ _4"> </span>of<span class="_ _4"> </span>spark<span class="_ _1"> </span>etl<span class="_ _4"> </span>pipelines<span class="_ _4"> </span>on<span class="_ _4"> </span>aws<span class="_ _4"> </span>emr<span class="_ _3"></span>,<span class="_ _4"> </span>processing<span class="_ _1"> </span>readers’<span class="_ _1"> </span>revenue<span class="_ _4"> </span>and<span class="_ _4"> </span>subscription<span class="_ _1"> </span>datasets.</div><div class="t m0 x4 h6 y39 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Designed<span class="_ _4"> </span>and<span class="_ _1"> </span>built<span class="_ _4"> </span>alternative<span class="_ _4"> </span>str<span class="_ _3"></span>eaming<span class="_ _4"> </span>pipelines<span class="_ _1"> </span>with<span class="_ _4"> </span>msk<span class="_ _a"></span>,<span class="_ _4"> </span>eks,<span class="_ _4"> </span>and<span class="_ _4"> </span>kafka‑s<span class="_ _3"></span>treams.</div><div class="t m0 x4 h6 y3a ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Implemented<span class="_ _1"> </span>in‑memor<span class="_ _a"></span>y<span class="_ _4"> </span>data<span class="_ _1"> </span>stream<span class="_ _1"> </span>uploads<span class="_ _1"> </span>using<span class="_ _4"> </span>http4s<span class="_ _1"> </span>and<span class="_ _4"> </span>fs2<span class="_ _4"> </span>to<span class="_ _4"> </span>converse<span class="_ _1"> </span>with<span class="_ _4"> </span>rest<span class="_ _1"> </span>apis.</div><div class="t m0 xe h7 y3b ff7 fs5 fc3 sc0 ls0 ws0">Sainsbury’<span class="_ _3"></span>s<span class="_ _22"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y3c ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _21"> </span><span class="ff9">Dec<span class="_ _1"> </span>2017<span class="_ _1"> </span>‑<span class="_ _4"> </span>Sep<span class="_ _1"> </span>2018</span></div><div class="t m0 x4 h9 y3d ffa fs6 fc4 sc0 ls0 ws0">cloudera<span class="_ _8"> </span>hive<span class="_ _10"> </span>kafka<span class="_ _5"> </span>streams<span class="_ _10"> </span>spark<span class="_ _10"> </span>terraform</div><div class="t m0 x4 h6 y3e ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Replaced<span class="_ _1"> </span>nect<span class="_ _3"></span>ar<span class="_ _4"> </span>cards<span class="_ _1"> </span>batch‑based<span class="_ _1"> </span>data<span class="_ _1"> </span>processing<span class="_ _1"> </span>with<span class="_ _4"> </span>stre<span class="_ _3"></span>aming<span class="_ _4"> </span>pipeline<span class="_ _4"> </span>inges<span class="_ _3"></span>tion,<span class="_ _4"> </span>processing<span class="_ _1"> </span>data<span class="_ _1"> </span>in<span class="_ _4"> </span>4<span class="_ _4"> </span>seconds<span class="_ _1"> </span>or<span class="_ _4"> </span>less.</div><div class="t m0 x4 h6 y3f ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Architec<span class="_ _3"></span>ture<span class="_ _4"> </span>and<span class="_ _4"> </span>deployment<span class="_ _4"> </span>of<span class="_ _1"> </span>kafka<span class="_ _4"> </span>clust<span class="_ _3"></span>ers<span class="_ _4"> </span>(apache<span class="_ _4"> </span>and<span class="_ _4"> </span>cloudera),<span class="_ _1"> </span>kms<span class="_ _4"> </span>and<span class="_ _4"> </span>kerberos.</div><div class="t m0 x4 h6 y40 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Design<span class="_ _4"> </span>and<span class="_ _1"> </span>implementation<span class="_ _1"> </span>of<span class="_ _4"> </span>kafka‑str<span class="_ _3"></span>eams,<span class="_ _4"> </span>kafka‑c<span class="_ _3"></span>onnect,<span class="_ _4"> </span>and<span class="_ _4"> </span>schema‑registry<span class="_ _4"> </span>etls<span class="_ _1"> </span>on<span class="_ _4"> </span>ecs.<span class="_ _7"> </span>Dat<span class="_ _3"></span>a<span class="_ _4"> </span>analytics<span class="_ _4"> </span>using<span class="_ _4"> </span>hive,<span class="_ _1"> </span>spark<span class="_ _4"> </span>and<span class="_ _4"> </span>zeppelin.</div><div class="t m0 x4 h6 y41 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Implementa<span class="_ _3"></span>tion<span class="_ _4"> </span>of<span class="_ _4"> </span>pii<span class="_ _4"> </span>and<span class="_ _4"> </span>gdpr<span class="_ _3"></span>‑compliant<span class="_ _4"> </span>str<span class="_ _3"></span>eam<span class="_ _4"> </span>proc<span class="_ _3"></span>essors<span class="_ _4"> </span>using<span class="_ _4"> </span>data<span class="_ _1"> </span>tokenisation<span class="_ _1"> </span>and<span class="_ _4"> </span>encr<span class="_ _a"></span>yption.</div><div class="t m0 xf h7 y42 ff7 fs5 fc3 sc0 ls0 ws0">Home<span class="_ _4"> </span>Oice<span class="_ _4"> </span>(HMPO<span class="_ _4"> </span>&<span class="_ _9"> </span>IPT)<span class="_ _23"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y43 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _24"> </span><span class="ff9">June<span class="_ _1"> </span>2016<span class="_ _1"> </span>‑<span class="_ _1"> </span>Nov<span class="_ _4"> </span>2017</span></div><div class="t m0 x4 h9 y44 ffa fs6 fc4 sc0 ls0 ws0">akka‑streams<span class="_ _8"> </span>akka‑persistenc<span class="_ _3"></span>e<span class="_ _10"> </span>kubernetes</div><div class="t m0 x4 h6 y45 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Development<span class="_ _4"> </span>of<span class="_ _4"> </span>HMPO’<span class="_ _1e"></span>s<span class="_ _4"> </span>online<span class="_ _4"> </span>passport<span class="_ _4"> </span>renewal<span class="_ _1"> </span>portal.<span class="_ _9"> </span>Designed<span class="_ _4"> </span>data<span class="_ _1"> </span>ingestion<span class="_ _1"> </span>processes.</div><div class="t m0 x4 h6 y46 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Implementa<span class="_ _3"></span>tion<span class="_ _4"> </span>of<span class="_ _4"> </span>resilient<span class="_ _4"> </span>dat<span class="_ _3"></span>a<span class="_ _4"> </span>transfer<span class="_ _1"> </span>layers<span class="_ _4"> </span>with<span class="_ _4"> </span>akka‑s<span class="_ _3"></span>treams<span class="_ _1"> </span>and<span class="_ _4"> </span>akka‑persistenc<span class="_ _3"></span>e<span class="_ _4"> </span>on<span class="_ _4"> </span>kubernet<span class="_ _3"></span>es.</div><div class="t m0 x4 h6 y47 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Api<span class="_ _4"> </span>contr<span class="_ _3"></span>act<span class="_ _1"> </span>testing<span class="_ _1"> </span>with<span class="_ _4"> </span>swagger<span class="_ _4"> </span>and<span class="_ _4"> </span>ga<span class="_ _3"></span>tling.</div><div class="t m0 x9 h7 y48 ff7 fs5 fc3 sc0 ls0 ws0">HMRC<span class="_ _4"> </span>(Valua<span class="_ _3"></span>tion<span class="_ _4"> </span>Oice<span class="_ _4"> </span>Agency)<span class="_ _25"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y49 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _26"> </span><span class="ff9">Nov<span class="_ _1"> </span>2015<span class="_ _1"> </span>‑<span class="_ _1"> </span>May<span class="_ _4"> </span>2016</span></div><div class="t m0 x4 h9 y4a ffa fs6 fc4 sc0 ls0 ws0">akka‑streams</div><div class="t m0 x4 h6 y4b ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Design<span class="_ _4"> </span>and<span class="_ _1"> </span>implementation<span class="_ _1"> </span>of<span class="_ _4"> </span>an<span class="_ _4"> </span>akka<span class="_ _4"> </span>wrapper<span class="_ _1"> </span>around<span class="_ _4"> </span>a<span class="_ _4"> </span>leg<span class="_ _3"></span>ac<span class="_ _a"></span>y<span class="_ _4"> </span>web<span class="_ _1"> </span>application<span class="_ _4"> </span>with<span class="_ _4"> </span>akka‑s<span class="_ _3"></span>treams.<span class="_ _9"> </span>Proposed<span class="_ _4"> </span>design<span class="_ _4"> </span>to<span class="_ _1"> </span>stak<span class="_ _3"></span>eholders.</div><div class="t m0 x4 h6 y4c ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Delivered<span class="_ _1"> </span>a<span class="_ _4"> </span>government‑c<span class="_ _3"></span>ompliant<span class="_ _4"> </span>solution<span class="_ _4"> </span>providing<span class="_ _4"> </span>a<span class="_ _1"> </span>countr<span class="_ _a"></span>y‑wide<span class="_ _4"> </span>first‑choic<span class="_ _3"></span>e<span class="_ _4"> </span>platform<span class="_ _1"> </span>for<span class="_ _4"> </span>council<span class="_ _1"> </span>tax<span class="_ _1"> </span>and<span class="_ _4"> </span>business<span class="_ _4"> </span>rat<span class="_ _3"></span>es<span class="_ _4"> </span>collections.</div><div class="t m0 xf h7 y4d ff7 fs5 fc3 sc0 ls0 ws0">Home<span class="_ _4"> </span>Oice<span class="_ _4"> </span>(HMPO<span class="_ _4"> </span>&<span class="_ _9"> </span>Border<span class="_ _4"> </span>Forc<span class="_ _3"></span>e)<span class="_ _27"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y4e ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _a"></span><span class="_ _1"> </span><span class="_ _28"> </span><span class="ff9">Mars<span class="_ _1"> </span>2014<span class="_ _1"> </span>‑<span class="_ _1"> </span>Oct<span class="_ _1"> </span>2015</span></div><div class="t m0 x4 h9 y4f ffa fs6 fc4 sc0 ls0 ws0">akka<span class="_ _8"> </span>play<span class="_ _10"> </span>python<span class="_ _10"> </span>rabbitmq</div><div class="t m0 x4 h6 y50 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Developed<span class="_ _4"> </span>a<span class="_ _4"> </span>flight<span class="_ _4"> </span>arrival<span class="_ _1"> </span>prediction<span class="_ _1"> </span>engine.<span class="_ _7"> </span>Implemented<span class="_ _1"> </span>resiliency<span class="_ _4"> </span>and<span class="_ _4"> </span>recovery<span class="_ _4"> </span>procedur<span class="_ _3"></span>es<span class="_ _4"> </span>using<span class="_ _4"> </span>akka<span class="_ _4"> </span>and<span class="_ _1"> </span>rabbitmq.</div><div class="t m0 x4 h6 y51 ff8 fs4 fc1 sc0 ls0 ws0">•<span class="_ _11"> </span>Designed<span class="_ _4"> </span>and<span class="_ _1"> </span>implemented<span class="_ _4"> </span>internal<span class="_ _4"> </span>tools<span class="_ _1"> </span>for<span class="_ _4"> </span>case<span class="_ _1"> </span>worker<span class="_ _4"> </span>application<span class="_ _1"> </span>management<span class="_ _4"> </span>using<span class="_ _4"> </span>play.</div><div class="t m0 xa h7 y52 ff7 fs5 fc3 sc0 ls0 ws0">Capc<span class="_ _3"></span>o<span class="_ _29"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y53 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _4"> </span><span class="_ _2a"> </span><span class="ff9">Sep<span class="_ _1"> </span>2013<span class="_ _1"> </span>‑<span class="_ _1"> </span>Dec<span class="_ _4"> </span>2013</span></div><div class="t m0 x10 h7 y54 ff7 fs5 fc3 sc0 ls0 ws0">News<span class="_ _4"> </span>UK<span class="_ _4"> </span>(News<span class="_ _9"> </span>Interna<span class="_ _3"></span>tional)<span class="_ _2b"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y55 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _2c"> </span><span class="ff9">Nov<span class="_ _1"> </span>2012<span class="_ _1"> </span>‑<span class="_ _1"> </span>June<span class="_ _4"> </span>2013</span></div><div class="t m0 x9 h7 y56 ff7 fs5 fc3 sc0 ls0 ws0">HappyInc<span class="_ _4"> </span>Lt<span class="_ _3"></span>d<span class="_ _4"> </span><span class="ffb">(<span class="_ _1a"></span></span>now<span class="_ _1"> </span>Blow<span class="_ _9"> </span>L<span class="_ _3"></span>td)<span class="_ _2c"> </span><span class="ff9 fs4 fc2">L<span class="_ _3"></span>ondon</span></div><div class="t m0 x4 h8 y57 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _2d"> </span><span class="ff9">July<span class="_ _1"> </span>2012<span class="_ _1"> </span>‑<span class="_ _1"> </span>Sep<span class="_ _4"> </span>2012</span></div><div class="t m0 x9 h7 y58 ff7 fs5 fc3 sc0 ls0 ws0">BSkyB<span class="_ _4"> </span>(Sky<span class="_ _4"> </span>Group)<span class="_ _2e"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y59 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _2c"> </span><span class="ff9">Aug<span class="_ _1"> </span>2011<span class="_ _1"> </span>‑<span class="_ _4"> </span>June<span class="_ _1"> </span>2012</span></div><div class="t m0 xa h7 y5a ff7 fs5 fc3 sc0 ls0 ws0">DMC<span class="_ _4"> </span>Digital<span class="_ _2f"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y5b ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _30"> </span><span class="ff9">Dec<span class="_ _1"> </span>2010<span class="_ _1"> </span>‑<span class="_ _1"> </span>July<span class="_ _4"> </span>2011</span></div><div class="t m0 xa h7 y5c ff7 fs5 fc3 sc0 ls0 ws0">ITHR<span class="_ _31"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y5d ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _32"> </span><span class="ff9">Oct<span class="_ _1"> </span>2010<span class="_ _1"> </span>‑<span class="_ _1"> </span>Nov<span class="_ _4"> </span>2010</span></div><div class="t m0 x4 h5 y5e ff7 fs3 fc2 sc0 ls0 ws0">P<span class="_ _3"></span>er<span class="fc1">manent<span class="_ _10"> </span>positions</span></div><div class="t m0 xa h7 y5f ff7 fs5 fc3 sc0 ls0 ws0">T<span class="_ _3"></span>ripAdvisor<span class="_ _33"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y60 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _4"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _34"> </span><span class="ff9">June<span class="_ _1"> </span>2008<span class="_ _1"> </span>‑<span class="_ _1"> </span>Aug<span class="_ _1"> </span>2010</span></div><div class="t m0 xa h7 y61 ff7 fs5 fc3 sc0 ls0 ws0">SixAndCo<span class="_ _4"> </span>(Fullsix<span class="_ _4"> </span>group)<span class="_ _35"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y62 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _4"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _36"> </span><span class="ff9">Dec<span class="_ _1"> </span>2006<span class="_ _1"> </span>‑<span class="_ _1"> </span>Apr<span class="_ _4"> </span>2008</span></div><div class="t m0 xa h7 y63 ff7 fs5 fc3 sc0 ls0 ws0">Vo<span class="_ _3"></span>xMobili<span class="_ _4"> </span>(Anéo)<span class="_ _37"> </span><span class="ff9 fs4 fc2">Paris</span></div><div class="t m0 x4 h8 y64 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _38"> </span><span class="ff9">Sep<span class="_ _1"> </span>2006<span class="_ _1"> </span>‑<span class="_ _1"> </span>Nov<span class="_ _4"> </span>2006</span></div><div class="t m0 xa h7 y65 ff7 fs5 fc3 sc0 ls0 ws0">Fullsix<span class="_ _39"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y66 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _3a"> </span><span class="ff9">Aug<span class="_ _1"> </span>2004<span class="_ _1"> </span>‑<span class="_ _1"> </span>June<span class="_ _1"> </span>2005</span></div><div class="t m0 xd h8 y34 ff3 fs6 fc5 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1d"> </span><span class="_ _1d"> </span><span class="_ _1e"></span><span class="_ _3b"> </span></div></div><div class="pi" data-data='{"ctm":[1.500000,0.000000,0.000000,1.500000,0.000000,0.000000]}'></div></div>
<div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h7 y35 ff7 fs5 fc3 sc0 ls0 ws0">Bo<span class="_ _3"></span>xNewMedia<span class="_ _3c"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y36 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _4"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _3d"> </span><span class="ff9">July<span class="_ _1"> </span>2003<span class="_ _1"> </span>‑<span class="_ _1"> </span>July<span class="_ _4"> </span>2004</span></div><div class="t m0 x4 h7 y67 ff7 fs5 fc3 sc0 ls0 ws0">AV<span class="_ _3"></span>S<span class="_ _9"> </span>Consulting<span class="_ _3e"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y68 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _4"> </span><span class="_ _3"></span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _f"> </span><span class="ff9">Mar<span class="_ _1"> </span>2002<span class="_ _1"> </span>‑<span class="_ _1"> </span>July<span class="_ _1"> </span>2002</span></div><div class="t m0 x4 h5 y69 ff7 fs3 fc2 sc0 ls0 ws0">Edu<span class="fc1">c<span class="_ _3"></span>ation</span></div><div class="t m0 x11 h7 y6a ff7 fs5 fc3 sc0 ls0 ws0">/<span class="_ _3f"> </span>HEC<span class="_ _4"> </span>&<span class="_ _9"> </span>T<span class="_ _1e"></span>éléc<span class="_ _3"></span>om<span class="_ _9"> </span>P<span class="_ _3"></span>aris<span class="_ _4"> </span>(ENST)<span class="_ _40"> </span><span class="ff9 fs4 fc2">Paris</span></div><div class="t m0 x4 h8 y6b ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _41"> </span><span class="ff9">2006</span></div><div class="t m0 xa h7 y6c ff7 fs5 fc3 sc0 ls0 ws0">Greenwich<span class="_ _4"> </span>University<span class="_ _42"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y6d ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _4"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _a"></span><span class="_ _1"> </span></div><div class="t m0 x12 ha y6e ff3 fs7 fc0 sc0 ls0 ws0"></div><div class="t m0 x13 h8 y6d ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _36"> </span><span class="ff9">2004</span></div><div class="t m0 x14 h7 y6f ff7 fs5 fc3 sc0 ls0 ws0">Universit<span class="_ _3"></span>é<span class="_ _4"> </span>de<span class="_ _9"> </span>Picardie<span class="_ _4"> </span>Jules<span class="_ _4"> </span>Verne<span class="_ _43"> </span><span class="ff9 fs4 fc2">Paris</span></div><div class="t m0 x4 h8 y70 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span></div><div class="t m0 x15 ha y71 ff3 fs7 fc0 sc0 ls0 ws0"></div><div class="t m0 x16 h8 y70 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _44"> </span><span class="ff9">2003</span></div><div class="t m0 x14 h7 y72 ff7 fs5 fc3 sc0 ls0 ws0">Birmingham<span class="_ _4"> </span>University<span class="_ _45"> </span><span class="ff9 fs4 fc2">London</span></div><div class="t m0 x4 h8 y73 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _4"> </span><span class="_ _1"> </span><span class="_ _a"></span><span class="_ _46"> </span><span class="ff9">2002</span></div><div class="t m0 x4 h5 y74 ff7 fs3 fc2 sc0 ls0 ws0">Cer<span class="fc1">tifica<span class="_ _3"></span>tions</span></div><div class="t m0 x8 h7 y75 ff7 fs5 fc3 sc0 ls0 ws0">Amazon<span class="_ _4"> </span>AWS</div><div class="t m0 x4 h8 y76 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _40"> </span><span class="ff9">2021</span></div><div class="t m0 x17 h7 y77 ff7 fs5 fc3 sc0 ls0 ws0">Éc<span class="_ _3"></span>ole<span class="_ _4"> </span>Polytechnique<span class="_ _4"> </span>Fédér<span class="_ _1e"></span>ale<span class="_ _9"> </span>de<span class="_ _4"> </span>Lausanne</div><div class="t m0 x4 h8 y78 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _a"></span><span class="_ _47"> </span><span class="ff9">2017</span></div><div class="t m0 xe h7 y79 ff7 fs5 fc3 sc0 ls0 ws0">Or<span class="_ _3"></span>acle</div><div class="t m0 x4 h8 y7a ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _5"> </span><span class="_ _4"> </span><span class="_ _1"> </span><span class="_ _1"> </span><span class="_ _2b"> </span><span class="ff9">2012</span></div><div class="t m0 x4 h5 y7b ff7 fs3 fc2 sc0 ls0 ws0">Pro<span class="fc1">jec<span class="_ _3"></span>ts</span></div><div class="t m0 xa h7 y7c ff7 fs5 fc3 sc0 ls0 ws0">Authentica<span class="_ _3"></span>tor<span class="_ _3"></span>‑rs</div><div class="t m0 x4 h8 y7d ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _3"></span><span class="_ _3"></span></div><div class="t m0 x4 h6 y7e ff8 fs4 fc1 sc0 ls0 ws0">Authentica<span class="_ _3"></span>tor‑rs<span class="_ _1"> </span>is<span class="_ _4"> </span>an<span class="_ _4"> </span>MFA<span class="_ _1"> </span>(multi‑fact<span class="_ _3"></span>ors<span class="_ _4"> </span>authentication,<span class="_ _1"> </span>TOTP<span class="_ _1"> </span>code<span class="_ _1"> </span>generation)<span class="_ _1"> </span>Linux<span class="_ _4"> </span>desktop<span class="_ _1"> </span>application<span class="_ _1"> </span>written<span class="_ _1"> </span>in<span class="_ _4"> </span>Rust<span class="_ _4"> </span>and<span class="_ _4"> </span>gtk3.<span class="_ _9"> </span>Generates</div><div class="t m0 x4 h6 y7f ff8 fs4 fc1 sc0 ls0 ws0">totp<span class="_ _1"> </span>tokens<span class="_ _1"> </span>to<span class="_ _4"> </span>use<span class="_ _4"> </span>with<span class="_ _1"> </span>mfa‑enabled<span class="_ _4"> </span>security<span class="_ _4"> </span>back<span class="_ _3"></span>ends.</div><div class="t m0 xa h7 y80 ff7 fs5 fc3 sc0 ls0 ws0">Kinesis‑t<span class="_ _3"></span>ailr</div><div class="t m0 x4 h8 y81 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _3"></span><span class="_ _3"></span></div><div class="t m0 x4 h6 y82 ff8 fs4 fc1 sc0 ls0 ws0">Rust<span class="_ _3"></span>‑based<span class="_ _1"> </span>cli<span class="_ _4"> </span>tool<span class="_ _4"> </span>to<span class="_ _1"> </span>tail<span class="_ _4"> </span>kinesis<span class="_ _4"> </span>str<span class="_ _3"></span>eams.<span class="_ _9"> </span>T<span class="_ _1e"></span>ailr<span class="_ _4"> </span>is<span class="_ _4"> </span>orders<span class="_ _4"> </span>of<span class="_ _4"> </span>magnitude<span class="_ _4"> </span>fas<span class="_ _3"></span>ter<span class="_ _1"> </span>than<span class="_ _4"> </span>other<span class="_ _4"> </span>publicly<span class="_ _4"> </span>available<span class="_ _1"> </span>tools,<span class="_ _4"> </span>able<span class="_ _1"> </span>to<span class="_ _4"> </span>maximise<span class="_ _4"> </span>throughput<span class="_ _4"> </span>of</div><div class="t m0 x4 h6 y83 ff8 fs4 fc1 sc0 ls0 ws0">kinesis<span class="_ _4"> </span>shards.</div><div class="t m0 xa h7 y84 ff7 fs5 fc3 sc0 ls0 ws0">GeoCalc</div><div class="t m0 x4 h8 y85 ff3 fs6 fc0 sc0 ls0 ws0"><span class="_ _3"></span></div><div class="t m0 x4 h6 y86 ff8 fs4 fc1 sc0 ls0 ws0">Geocalc<span class="_ _1"> </span>is<span class="_ _4"> </span>a<span class="_ _4"> </span>java<span class="_ _1"> </span>librar<span class="_ _a"></span>y<span class="_ _4"> </span>providing<span class="_ _1"> </span>arithmetic<span class="_ _4"> </span>tools<span class="_ _4"> </span>to<span class="_ _1"> </span>manipulate<span class="_ _1"> </span>Earth<span class="_ _4"> </span>coordinates.<span class="_ _9"> </span>Allows<span class="_ _4"> </span>for<span class="_ _1"> </span>various<span class="_ _1"> </span>distanc<span class="_ _3"></span>e,<span class="_ _4"> </span>traject<span class="_ _3"></span>or<span class="_ _a"></span>y<span class="_ _4"> </span>and<span class="_ _4"> </span>surface</div><div class="t m0 x4 h6 y87 ff8 fs4 fc1 sc0 ls0 ws0">calculations.<span class="_ _9"> </span>Formed<span class="_ _1"> </span>the<span class="_ _4"> </span>basis<span class="_ _4"> </span>for<span class="_ _1"> </span>rentbaromet<span class="_ _3"></span>er.<span class="_ _3"></span>com<span class="_ _4"> </span>(defunct)<span class="_ _1"> </span>to<span class="_ _4"> </span>calculat<span class="_ _3"></span>e<span class="_ _4"> </span>geo‑based<span class="_ _1"> </span>properties<span class="_ _4"> </span>prices.</div><div class="t m0 xd h8 y34 ff3 fs6 fc5 sc0 ls0 ws0"><span class="_ _1"> </span><span class="_ _1d"> </span><span class="_ _1d"> </span><span class="_ _1e"></span><span class="_ _3b"> </span></div><a class="l" href="https://www.credly.com/badges/e5761b98-edf5-44ec-bb32-24f18672e7de/public_url"><div class="d m1" style="border-style:none;position:absolute;left:59.527500px;bottom:784.003500px;width:162.861000px;height:11.349000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.coursera.org/account/accomplishments/specialization/9NNUCHVNV36F"><div class="d m1" style="border-style:none;position:absolute;left:59.527500px;bottom:734.475000px;width:117.878000px;height:11.350000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/grumlimited/authenticator-rs"><div class="d m1" style="border-style:none;position:absolute;left:59.527500px;bottom:576.910500px;width:149.208000px;height:11.349000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/grumlimited/kinesis-tailr"><div class="d m1" style="border-style:none;position:absolute;left:59.527500px;bottom:490.968000px;width:131.443000px;height:11.349000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/grumlimited/geocalc"><div class="d m1" style="border-style:none;position:absolute;left:59.527500px;bottom:405.025500px;width:115.822000px;height:11.350000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.500000,0.000000,0.000000,1.500000,0.000000,0.000000]}'></div></div>
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