Yao Lu
Head Of ML Infra at Physical Intelligence
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYao Lu is a seasoned machine learning infrastructure leader with over a decade of experience building research-to-production systems in robotics, reinforcement learning, and 3D reconstruction. Currently Head of ML Infra at Physical Intelligence, he previously led teams at DeepMind and held senior research roles at NVIDIA, blending deep academic foundations (PhD in ECE from UCSD and training at Stanford and Tsinghua) with product-forward execution as a former startup CTO. He has a track record of scaling complex ML research into robust infrastructure, from prototyping novel RL and vision algorithms to operationalizing them for real-world robotics. Based in Palo Alto, he pairs rigorous research credentials with business analytics experience from UCSD, making him adept at translating experimental insights into measurable product impact. An unconventional detail: his background spans both BI engineering at Amazon-level tooling and cutting-edge robotics research, enabling rare cross-domain fluency between data engineering and embodied AI.
10 years of coding experience
9 years of employment as a software developer
University of California, San DiegoBachelor of Engineering (B.E.), Electronics Engineering, Bachelor of Engineering (B.E.), Electronics Engineering at Tsinghua UniversityStanford UniversityProgramming languages (1)
Github contributions (5)
vertigo-yl/DS-take-home-Challenge
May 2019 - Apr 2020
Contributions:19 commits, 18 pushes, 1 branch in 10 months
vertigo-yl/vertigo-yl.github.io
Jan 2016 - May 2019
Contributions:9 pushes, 1 branch in 3 years 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.