AI Engineer and PhD Candidate in Artificial Intelligence
Federal University of Paraná, Curitiba, Brazil
I'm a passionate researcher and PhD candidate specializing in Artificial Intelligence. My work focuses on cutting-edge AI applications, particularly Neural Networks, Deep Learning, AI Agents, and Autonomous Control Systems. Currently, I'm developing a neural network controller for heavy-duty vehicles' gearboxes using differentiable programming, showcasing my dedication to applying AI to solve practical energy consumption problems. I'm a strong believer that we can find optimal ways to make better use of energy.
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PhD in Artificial Intelligence (in progress)
Federal University of Paraná, Curitiba, Brazil- Research: Neural Network Controllers and Autonomous Systems
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Master’s Degree in Computer Science
Pontificia Catholic University of Paraná, Curitiba, Brazil- Thesis: On the Usage of Deep Learning to Code Clinical Narratives Using Self-Taught Word Embeddings
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Bachelor’s Degree in Information Technology
UniOPET, Curitiba, Brazil
- Programming Languages: Python, Julia, Mojo, C++, C
- AI Expertise: AI Agents, Differentiable Programming, Deep Learning, Computational Linguistics, Optimization
- Principal AI Engineer @ Able (Current!)
- Senior Data Scientist @ Volvo Trucks
- Senior Data Analytics Advisor @ ExxonMobil
- Senior Data Scientst @ Junto Seguros
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Simulating Memory Access Patterns with Wasserstein-GAN
- 2022: Anais da XXII Escola Regional de Alto Desempenho da Região Sul
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Generating Synthetic 2019-nCoV Samples with WGAN to Increase the Precision of an Ensemble Classifier
- Ibero-American Journal of Applied Computing, May 2021
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Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task
- MEDINFO 2019: Health and Wellbeing e-Networks for All, Volume 264, International Medical Informatics Association and IOS Press, November 2019
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Using Deep Convolutional Neural Nets with Self-Taught Word Embeddings to Perform Clinical Coding
- Ibero-American Journal of Applied Computing, December 2018
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Predictive Models for Infant Mortality in the State of Paraná
- Ibero-American Journal of Applied Computing, January 2018
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Deep Learning for Healthcare Management and Diagnosis
- Ibero-American Journal of Applied Computing, December 2015
I balance my intense professional and academic focus with physical activities like running and gym workouts. Staying active helps me maintain clarity and energy for tackling challenging AI problems.