AI/LLM Full Stack Engineer

Shwetank Tewari is a Full Stack Engineer based in Port Jefferson, NY, open to remote full-time or contract roles. He is a full stack generalist with strong expertise in AI/LLM, including MCP, agent toolchains, RAG, and vector databases. His technical stack includes Node/TypeScript, Rails, React, PostgreSQL, and AWS.

Recent projects highlight his capabilities:
- Developed a TypeScript SDK for an open-source MCP bundle registry, focusing on config management, integrity-checked caching, and server lifecycle orchestration.
- Built a serverless LLM API gateway (Apiary) on AWS, featuring semantic vector caching, rules-based routing, and hybrid Parquet/DynamoDB logging.
- Created a Lab Inventory Management System using Express, Prisma, React, with QR tracking, Google OAuth, and Slack integrations.
- Contributed to Firefox, addressing extension update scheduling and resource loading refactoring.
- Implemented a RAG chatbot with a vector DB, academic PDF indexing, and an on-prem LLM.

With a background in Engineering from IIT-BHU and six years in climate change policy research, Shwetank is a self-taught Software Engineer who thinks in systems and writes clearly. He is available for full-time or contract positions and does not require visa sponsorship.

Contact: shwetank.tewari.87@gmail.com | GitHub: MaxHass12 | LinkedIn: shwetank-tewari-447a9b216