Aidan Lee is a robotics-focused software engineer based in the San Francisco Bay Area with a BS in Computer Science & Engineering from UC Davis and nine years of hands-on experience across robotics, transportation, and cloud infrastructure. He has shipped operational improvements for a robotic-arm dishwashing system and supported fleet and teleoperation workflows at Armstrong Robotics and Pronto, pairing ROS and LIDAR-based collision avoidance with production support practices. His background includes building control systems (Fuzzy Logic/PID) for SAE Level 2 autonomy in EcoCAR, designing AMR safety features, and running Kubernetes-based production stacks as a DevOps lead—an uncommon blend of embedded robotics and cloud ops. Comfortable in both field triage and software development, he brings practical reliability-first engineering to teams tackling real-world autonomy and transit challenges.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science & Engineering, Bachelor of Science - BS, Computer Science & Engineering at University of California, Davis
Contributions:1 PR, 39 pushes, 6 branches in 10 months
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