Architected and deployed enterprise-grade RAG-powered LLMs for 5 major energy sector clients, implementing custom AI solutions that process tens of thousands of unstructured documents across multiple formats (PDFs, Word, Excel, PowerPoint).
Engineered comprehensive Azure ML pipeline integrating Python, Azure Document Intelligence, Azure Computer Vision, and Azure Cognitive Search, achieving 3x faster document retrieval and enhanced data processing capabilities for enterprise customers.
Developed full-stack features for Collide.io social media platform using Ruby on Rails backend and JavaScript frontend, including real-time chat functionality and critical bug fixes, serving thousands of active users.
Built scalable document processing workflows handling multi-format data ingestion, intelligent chunking algorithms, OCR processing, and automated indexing for enterprise search solutions.
Meta MLH Fellow - Software Engineering
Contributed to Clang/LLVM compiler development with Meta’s Programming Languages Research team, authored hundreds of pages of documentation.
Clang/LLVM Open Source Contributor
Contributing to Clangd Language Server features for VSCode, potentially impacting millions of C/C++ developers.
Software Engineer - Digital Wildcatters
Meta MLH Fellow - Software Engineering