At DocNow EHR, I integrated LLM function calling, semantic search, and vector indexing into API workflows, cutting context retrieval latency by 40%. I also developed and shipped 5+ client application solutions across JavaScript/TypeScript, Python, Node.js, and SQL.
I built full-stack applications with Next.js and NestJS that handled high-concurrency traffic at 99.9% uptime, and optimized code to cut page load times by 30% while keeping p95 latency under 150ms. I also built REST APIs for 10+ third-party integrations and automated CI/CD workflows that cut manual deployment time by 50%.
Independently, I build AI products to deepen my practical knowledge of LLM pipelines, RAG, and vector search. My projects include a Gemini-powered nutrition scanner, an AI SEO content engine, and a retrieval-augmented generation app.
