Backend and AI systems engineer who co-founded an AI research startup before finishing his degree — because waiting to build production systems made no sense.
Actively shipping at two organizations simultaneously — architecting RAG backends, LLM inference pipelines, and semantic retrieval at production scale. Independently shipped LexAI: a legal AI with FAISS vector search and zero hallucinated citations across 100+ benchmarked queries.
Full-stack e-commerce system with user/admin RBAC, JWT authentication, and dynamic inventory management. Designed and shipped the complete auth flow and admin dashboard end-to-end — deployed for real users in production.
GitHub ↗Python CLI for fetching, processing, and visualizing historical stock data across multiple tickers and timeframes. Built a Pandas-based pipeline with yfinance ingestion and Matplotlib charting — owned the full data flow from API to output.
GitHub ↗Architected and shipped a production e-commerce system from zero — full auth flow, admin dashboard, MongoDB integration. Owned every layer of the stack. Code ran for real users in production.
End-to-end ownership. Zero supervision. Shipped.
Architected ZERA — a RAG backend over 300+ arXiv papers with section-aware PDF chunking, BGE-small-en-v1.5 embeddings, and FAISS IVF indexing delivering sub-4s query latency. Owned full-stack delivery: FastAPI backend, React + Vite frontend with streaming responses, source citation layer, and follow-up query interface — shipped to integration-ready state in 4 weeks.