I'm a full-stack software engineer with a passion for building AI-powered systems that bridge technical innovation and human-centered design.
- Chunkwise: An open-source, self-managed platform for evaluating document chunking strategies and deploying validated strategies to RAG systems via automated ETL pipelines.
- Built with Python, TypeScript, OpenAI APIs, PostgreSQL, pgvector, ChromaDB, and deployed on AWS (ECS Fargate, Batch, S3, RDS, Secrets Manager)
- Request Bin: A developer tool for capturing and inspecting HTTP requests and webhooks via dynamically generated endpoints, with real-time data streaming via WebSockets.
- Built with JavaScript, React, Express, PostgreSQL, MongoDB, and deployed on AWS via Nginx.
- NYT Obituaries RAG Explorer: A RAG system enabling semantic search across 380 New York Times obituaries, with LLM observability.
- Built with Python, OpenAI APIs, PostgreSQL w/ pgvector, and Arize.
- My $tocks: A full-stack stock portfolio application simulating trades via an external market API.
- Built with Python, Flask, and PostgreSQL. This was substantially expanded from an assignment in Harvard CS50, which I completed in 2023.
- 3+ years of experience in the Python and JavaScript ecosystems
- Hands-on experience with cloud platforms such as AWS and DigitalOcean, and applied AI
- Humanities background and substantial client-facing and product-related experience, with a unique blend of humanities insight and technical expertise