Summary
Peter Stratton is a perception software engineer with 8 years of experience building sensor-fusion, visual SLAM, and deep learning systems for robotics and autonomous navigation. Currently at Zipline, he applies GNSS-IMU state estimation and multi-sensor perception to production navigation stacks, drawing on prior research in domain-adaptive object detection and map-matching pipelines. He holds an MS in Robotics from the University of Michigan and a BS in Computer Science from UC San Diego, and has taught mobile robotics and advanced data-structures courses. Comfortable moving between research and production, he has interned across industry teams (Ford, MediaTek, UNISOC) and contributed to autonomy tooling in ROS2. Outside work he balances technical rigor with outdoor pursuits—surfing and rock climbing—and a well-earned appreciation for California burritos.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Robotics, Master of Science - MS, Robotics at University of Michigan
University of California, San Diego
Del Norte High School