• 👀 I’m an experienced Machine Learning Engineer, an AI Consultant, a Corporate Trainer, a Software Engineer, and an avid Reader.
• 👨🏽‍🎓 I have a Masters in Computer Science with a concentration in Machine Learning. I am specialized in creating classical machine learning and deep learning solutions as well as Generative AI systems using Large Language Models (LLMs), Large Vision Models (LVMs), Large Multimodal Models (LMMs) and Retreival Augmented Generation (RAG).
• 🌱 I build, deploy, and optimize entire ML pipelines, write proposals for AI projects, and share my findings on my blog, The Number Crunch.
• 📖 Currently, I am reading Build a Large Language Model (From Scratch) by Sebastian Raschka and next on my list is the LLM Engineer's Handbook by Iusztin and Labonne.
• 🛠️ When I am not working or reading, I am busy building HiveHaven - an accommodation solution for international students in the US.
• 🤝🏽 I’m looking to collaborate on any interesting AI projects, as well as sharing my knowledge with your employees as a corporate trainer.
• 👨🏽‍💻 That said, I am open to roles in ML and GenAI domains. Hit me up if you find my profile interesting! You'll find my socials at the bottom of this document.

• Languages: Python, C, C++, Java, C#, JavaScript, SQL
• ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
• LLM Tools: Hugging Face Transformers, OpenAI API, LangChain, Pinecone, Neo4J

• Cloud Platforms: AWS SageMaker, Amazon Bedrock, Google Cloud AI, Azure ML

• Big Data: Apache Spark (PySpark), Hadoop (HDFS), Databricks, Postgres, Tableau
• Version Control: Git, GitHub, DVC

• Containerization: Docker, Kubernetes

• 📫 You can reach me via LinkedIn, 𝕏, or email
• 📊 You can find everything I do here.
• 📝 I also have a blog at The Number Crunch that I try to keep as up-to-date as possible.

If you love my work and want to support me, you can buy me a coffee ☕️

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