I build clean code and memorable experiences.

I'm a Software Engineer building and deploying LLM-powered applications, RAG pipelines, and agentic workflows at scale. I've shipped GenAI systems in automotive at General Motors — focusing on production retrieval, evaluation, and multi-agent workflows that hold up beyond demos.

My core stack spans LangChain, LangGraph, vector databases (Pinecone, pgvector), and LLM APIs from OpenAI, Anthropic, and Gemini. I care deeply about evaluation frameworks, cost optimization, guardrails, and MLOps — not just prototypes that demo well, but systems that hold up in production.

MS in Computer Science from California State University Channel Islands. Open-source contributor across agent infrastructure and eval tooling — including Judgeval (Stanford/Judgment Labs), LangGraph, Mem0, and Llama inference experiments — and builder of projects like Job Agent AI, PulmoScan AI, Military Docs RAG, Spark Dating, and IoT Bot.