Summary
Chao Fang is a Principal Engineer in Palo Alto with nine years of experience building production-scale ML systems for autonomous vehicles and robotics. He has led end-to-end development of 3D perception and multitask models at NVIDIA after driving perception stacks and distributed training platforms at Argo AI and research programs at Toyota Research Institute. Trained as a PhD mechanical and aerospace engineer from Cornell, he combines deep physics-based simulation and numerical algorithm expertise with practical ML/DL engineering for perception, decision making, and large-scale training. Notably, he has moved between developing C++ finite-element and SEM simulators to architecting cloud-native distributed training pipelines, giving him an unusual blend of low-level systems rigor and production ML delivery.
9 years of coding experience