Summary
David Lee is a Robotics & Automation Engineer based in Singapore with eight years of hands-on experience building electromechanical systems, sensors, and real-time ML-enabled devices from research prototypes to production-ready solutions. At NUS he led end-to-end development of award-winning medical and tactile sensing projects—designing electronics, FPGA data links, ROS-based robotic control, and ML models that achieved clinical-grade performance—and now applies that systems-level expertise at GE Vernova. He combines formal AI training (M.Comp) with an electrical engineering background and practical skills in UR-10/Shadow hand teleoperation, RGB-D vision, and tactile sensing, making him effective at bridging hardware, firmware, and perception stacks. Known for moving quickly under tight timelines, he also brings experience interfacing with media, donors, and procurement, and a playful curiosity (github bio: "Ya like jazz") that signals a creative approach to complex automation challenges.
8 years of coding experience
4 years of employment as a software developer
Diploma in Engineering Science, Diploma in Engineering Science at Ngee Ann Polytechnic
M.Comp, (Artificial Intelligence), M.Comp, (Artificial Intelligence) at National University of Singapore