Software engineer • CS & Math Senior
Full-stack dev with a focus on AI-powered systems

I build software end-to-end — APIs, frontends, data pipelines, and the glue between them. Lately most of that work has an AI/ML layer: retrieval systems, model-serving infrastructure, and CV pipelines that run in production, not just notebooks.

I care about writing code that's boring to maintain: clear boundaries, good tests, and systems that fail loudly instead of quietly. I'm equally comfortable debugging a React render loop, shipping a FastAPI service behind Docker, or profiling a vector DB query.

🛡️ LLMGuard — Model attestation framework that cryptographically verifies a deployed LLM matches its claimed weights. Python service + CLI, pluggable verification backends, designed to drop into existing inference stacks.
Python FastAPI Cryptography Docker

🚨 [CLARA] — Full-stack RAG application for emergency response. FastAPI backend serving a hybrid retrieval pipeline over ChromaDB, React frontend, streaming responses, evaluation harness for retrieval quality.
Python LangChain ChromaDB React FastAPI

🌾 AguaCrop — Agricultural Q&A system built over FAO datasets. Ingestion pipeline, retrieval-augmented chatbot, web UI. 🏆 Hackathon winner.
Python RAG LangChain React

Languages

Backend

Frontend

AI / ML

Infra & Tooling