Yao Li is an applied scientist with 12 years of experience building production ML and computer vision systems for scale, most recently developing generative AI applications for Uber Earners as a staff machine learning engineer. He previously delivered AI and deep learning solutions at Microsoft and helped power the Amazon Go computer-vision shopping experience, giving him end-to-end expertise from research to deployed systems. Holding a PhD in Computer Science from the University of Adelaide and a background in electrical engineering, Yao blends strong theoretical foundations with practical engineering rigor. Colleagues know him for translating complex vision models into robust product features and for bridging research advances with measurable business impact.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Adelaide
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Dalian University of Technology
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