Summary
Qiangui Huang is an engineer with six years of experience building production ML systems and autonomy software, currently solving ML problems for autonomous vehicles at NVIDIA in Palo Alto. He was the first engineering hire and a founding engineer at Coram AI, shipping revenue-generating products powered by foundation models, and previously led a 10+ engineer team on ML planner and sensor fusion at Lyft’s self-driving division. His background spans research and applied work in computer vision, neural network acceleration, and embedded ML from USC and multiple industry research internships. Proficient in Rust, Swift, Python, C/C++, Go, MySQL, and blockchain, he pairs deep systems and math instincts with product-minded execution. An uncommon blend of hands-on founding experience and academic research gives him a track record of taking models from prototype to deployed, safety-critical systems.
6 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Southern California
Wuhan University