Summary
Guanhang Wu is a founder and CEO with 11 years of machine learning and computer vision experience, now building a stealth startup out of Cupertino after leadership roles at Path Integral and senior engineering positions at DeepMind and Google. He combines deep research credentials—from CMU and GWU—with product-focused ML work spanning Cloud AI, AutoML, video intelligence, and generalist agents for sequential decision making. His background includes applied research in autonomous systems and large-scale vision problems (vehicle counting, multi-sensor facial geometry, action recognition) and several industry patents/pending innovations. Comfortable moving models from research to production, he has led cross-functional teams and co-founded an AI company while still contributing at top-tier labs. Notably, his GitHub handle (polltooh) and Google Cloud AI pedigree signal hands-on expertise with cloud-scale model engineering beyond pure research. Based in Cupertino, he brings a founder’s appetite for building scalable AI products grounded in rigorous academic and industrial experience.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Electrical and Computer Engineering, Master of Science (MS) Electrical and Computer Engineering at The George Washington University
Master of Science - MS Computer Vision / Robotics, Master of Science - MS Computer Vision / Robotics at Carnegie Mellon University
English, Chinese