Feiyun Zhu is a Principal Data Science and computer vision leader with nine years of experience translating cutting-edge research into large-scale production systems. He led Sam’s Club efforts that scaled vision-driven products from prototype to deployment across ~600 stores—powering frictionless exits that garnered executive buy-in and national media attention and running robots that process 25M images daily with 98% item-recognition accuracy. A PhD-trained researcher with 16 peer-reviewed publications and multi-year expertise in reinforcement learning and medical imaging, he blends rigorous academic methods with product-focused engineering. Known for shipping high-impact, cross-disciplinary solutions (cloud/edge/robotics/mobile) he consistently reduces operational friction while strengthening loss-prevention and inventory insights.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) @ National Laboratory of Pattern Recognition Machine Learning Pattern Recognition, Doctor of Philosophy (Ph.D.) @ National Laboratory of Pattern Recognition Machine Learning Pattern Recognition at Institute of Automation, Chinese Academy of Science
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