Fangzhou Xiong is a Senior Machine Learning Engineer based in Cupertino with nine years of engineering experience and a focus on production computer vision systems. He holds an MS in Computer Science and a BE in Electrical/Electronic Communications, blending signal processing foundations with hands-on ML/DL deployment at Meta and HERE Technologies. Fangzhou has shipped end-to-end satellite-imagery pipelines—building footprint extractors that achieved >0.85 IOU—and is comfortable moving models from research to scalable production. A former CTO and early software engineer, he brings product-minded leadership and practical scripting/automation skills across Python and system tooling. His GitHub motto, "Simplification is the ultimate sophistication," reflects a pragmatic approach: favoring elegant, maintainable solutions to complex vision problems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Electrical, Electronic and Communications Engineering Technology/Technician, Bachelor of Engineering (BE), Electrical, Electronic and Communications Engineering Technology/Technician at Chongqing University of Post and Telecommunications
MSCS, Computer Science, Master Degree, MSCS, Computer Science, Master Degree at Illinois Institute of Technology
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Fangzhou Xiong - Senior Machine Learning Engineer at Meta