Qijie Zhao is a co-founder and engineer with nine years of experience building perception stacks for autonomous vehicles, currently leading Perception, ML Infra, and VSLAM at APE AI. He blends research and product engineering—owning algorithm development, model deployment, and on-board systems for electric trucks and autonomy. Previously he advanced lane, object, and semantic perception at Pony.ai across camera, lidar, and fusion pipelines. A proven competition and academic performer, he has multiple global deep-learning contest wins, four CCF-A vision papers, and 2,000+ Google Scholar citations as of 2022. Based in Boston with hiring operations in Shanghai and the Bay Area, he pairs startup grit with leadership experience at leading autonomous driving companies. Colleagues rely on him for pragmatic research translation and end-to-end delivery from model prototyping to in-vehicle inference.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, EE, Bachelor of Engineering - BE, EE at 合肥工业大学
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at 北京大学
Contributions:4 commits, 2 PRs, 3 pushes in 25 days
pytorchdeep-learningtemporalsegmenttsn
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