Summary
Bill Tran is an AI product engineer and part-time full-stack mentor with 12 years of experience turning ideas into production-ready AI systems across healthcare, fintech, government, and enterprise. He designs end-to-end LLM-powered products and autonomous agents—covering prompt engineering, evaluation loops, agent workflows, and scalable infrastructure—to replace manual workflows and accelerate developer velocity. His consulting work includes AI clinical documentation that converts real-time audio into structured SOAP notes (cutting documentation time by ~40%), high-traffic frontend work for VA.gov, and rapid 0→1 builds for startups. Technically fluent across Claude SDK, OpenAI API, LangChain, Python, Node/Next.js, and AWS, he pairs platform engineering with pragmatic UX and testing practices. Bill is focused on AI-native interaction models like conversational interfaces and “open notebook” systems, and he coaches teams to ship 3–5x faster by embedding LLM-driven workflows into everyday development. An early machinist and model-maker, he brings hands-on prototyping discipline to software design, marrying physical-product rigor with modern AI systems thinking.
12 years of coding experience