Summary
Richard Lin is a Senior Deep Learning Scientist specializing in autonomous vehicles, combining nine years of hands-on robotics and ML experience with advanced research training from Stanford. At NVIDIA he has progressed from intern work on simulation-trained perception and trajectory models to leading deep learning efforts for AV perception, with at least one algorithm moving toward patent submission. His background spans robot navigation, person re-identification, ROS integrations, and building simulation-to-real pipelines—skills he applied across Stanford labs and industry internships. Based in Palo Alto, he thrives on hard technical challenges and rapid learning, frequently bridging research prototypes and production-ready systems. An often-overlooked strength is his sustained teaching and mentoring experience at Stanford, which sharpens his ability to communicate complex ideas and shepherd multidisciplinary teams.
9 years of coding experience