Summary
Andrew Chen is a senior machine learning engineer based in San Francisco, applying AI to the real-world challenge of reducing food waste across the fresh food supply chain. With a decade of experience across startups and academia, he currently leads ML initiatives at Afresh, building data-driven solutions to minimize waste from farm to table. His background blends advanced mathematics and computer science from Stanford, including research in graph theory and scalable ML systems. He has hands-on experience from internships at DataVisor and Jump Trading and a track record of turning complex problems into deployable models, infrastructure, and tooling. Outside work, he has organized food-waste initiatives and helped recover surplus food on campus, reflecting a rare mix of technical depth and social impact. Fluent in Python, ML, and scalable systems, he focuses on auditable, production-ready solutions that matter.
10 years of coding experience
4 years of employment as a software developer
Stanford University Mathematics Camp (SUMaC)
Summer Science Program at New Mexico Tech
Class Rank: 1, Class Rank: 1 at Albuquerque Academy
Stanford University