Summary
Derek Phillips is Head of Perception Engineering with a decade of experience building production-grade perception, sensor fusion, and multi-object tracking systems for autonomous vehicles. He blends academic rigor from Stanford—where he advanced imitation learning, risk prediction from monocular video, and published multiple papers—with hands-on delivery at Kodiak and Lyft to ship safety-critical AI in real-time. Derek is comfortable moving fast in ambiguous environments, architecting hybrid systems that combine classical state estimation and particle filters with modern deep learning. He has a track record of turning research prototypes (e.g., real-time driver risk prediction and GAN-based driver models) into deployable systems and tools for data curation and model testing. Passionate about mentorship and widening access to STEM, he actively supports underrepresented minorities entering the field.
10 years of coding experience
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English