Summary
Patrick Phillips is a founding engineer and Principal AI Engineer with eight years of experience turning cutting-edge research into production systems, currently based in Rochester, NY. He combines deep academic training—a Master's in Computer Science from University of Chicago and four bachelor's degrees earned in four years—with hands-on work in satellite scheduling optimization, quantum chemistry prediction, and reinforcement learning for game-theoretic agents. At Riverside Research he architected and deployed an optimization-based scheduler; at GDIT he scales AI solutions for real-world problems, and he now helps launch Tarly as an early technical lead. Patrick treats exploration as a hobby as well as a profession, continuously experimenting with new ML techniques and applying them to constrained planning and decision-making domains. Known for moving fast from prototype to production, he blends rigorous math, systems engineering, and practical product focus to solve hard technical challenges.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science Applied Mathematics Physics, Bachelor of Science - BS Computer Science Applied Mathematics Physics at University of Rochester
Master's degree Computer Science, Master's degree Computer Science at University of Chicago