Summary
Gerard Maggiolino is a Senior Machine Learning Research Engineer at Tesla Autopilot with eight years of experience building computer vision systems for autonomous vehicles and robotics. He holds an M.S. in Computer Vision from Carnegie Mellon and a B.S. in Mathematics and Computer Science from UC San Diego, and has interned at Nuro, NASA JPL, Accel Robotics and startups where he applied research to real-world perception stacks. At Tesla he progressed from ML Research Engineer to a senior research role, contributing to large-scale, safety-critical perception and modeling efforts. His background blends rigorous academic training with hands-on deployment experience across industry and research labs, giving him fluency from prototyping to production. Colleagues describe him as someone who bridges deep theoretical understanding with pragmatic engineering—often spotting dataset and labeling pitfalls early in the pipeline. Based in Cupertino, he brings a strong track record of shipping vision models in complex, real-world environments.
8 years of coding experience
5 years of employment as a software developer
De Anza College
University of California, San Diego
Monta Vista High School
Master of Science - M.S. Computer Vision, Master of Science - M.S. Computer Vision at Carnegie Mellon University