Summary
Yidong He is a software engineer with eight years of experience building large-scale ML infrastructure and perception systems, currently contributing to mapping efforts at NVIDIA from San Jose. He brings deep hands-on experience in LLM/VLM training, reinforcement learning, and accelerated pipelines, grounded in prior work on LiDAR perception, sensor fusion, and 3D deep learning across industry and academia. His background includes applied research at Carnegie Mellon’s Safe AI Lab and production-focused roles at Cepton and Argo AI, bridging rigorous research (4.0 MSR) with deployable perception runtimes. Known for pragmatic problem-solving, he pairs a mechanical engineering foundation from Shanghai Jiao Tong University with proven expertise in point-cloud and motion-capture systems—skills that make him effective at turning complex sensor data into reliable, scalable ML systems.
8 years of coding experience
1 year of employment as a software developer
Master of Science-Research, Mechanical Engineering, 4.0/4.0, Master of Science-Research, Mechanical Engineering, 4.0/4.0 at Carnegie Mellon University
Bachelor's degree, Mechanical Engineering, 3.82/4.3, Bachelor's degree, Mechanical Engineering, 3.82/4.3 at Shanghai Jiao Tong University