Chao Fang
VLA Research Team Lead at 42dot
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolChao 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.
10 years of coding experience
10 years of employment as a software developer
BS Aerospace Engineering, BS Aerospace Engineering at Beihang UniversityPhD Mechanical and Aerospace Engineering, PhD Mechanical and Aerospace Engineering at Cornell University
Github Skills (85)
simulator10
ai9
carla9
deep-reinforcement-learning9
computer-vision9
unreal-engine-49
python9
autonomous-driving9
windows-gui9
ros9
transport9
imitation-learning9
artificial-intelligence9
pywinauto9
autonomous-vehicles8
Programming languages (6)
Github contributions (5)
fangchaooo/note
Feb 2017 - Sep 2022
Contributions:44 pushes, 1 branch in 5 years 7 months
fangchaooo/fangchaooo.github.io
Jul 2016 - Jan 2019
Contributions:64 pushes, 2 branches in 2 years 6 months
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