Summary
Michael Chiang is a software engineer with 11 years of experience specializing in user-facing web applications and client-side machine learning, currently building systems at Applied Minds in Pasadena. He combines a strong physics BS from Caltech and a PhD in Biology from UC Irvine with hands-on expertise in Python, JavaScript, PyTorch, React, Svelte, Redux, Node, Django, WebRTC, and PostgreSQL. His unusual blend of deep academic research (seven ML publications) and production engineering enables him to bridge experimental ML models to responsive front-end experiences. Michael focuses on performant, user-friendly interfaces that integrate complex models on the client, reflecting a bias for practical, deployable solutions rather than purely theoretical work. Colleagues describe him as both curious and pragmatic, able to translate cross-disciplinary problems into maintainable code.
11 years of coding experience
California Institute of Technology
University of California, Irvine