Shenfeng Fei is a Staff Software Engineer based in Mountain View with 14 years of experience building large-scale systems across Google, YouTube, Google Health, and DeepMind. He brings deep backend expertise in Java and C# plus hands-on familiarity with C/C++, web technologies, databases, and ML inference serving. His career blends production engineering and research-driven projects—from shipping core ML serving infrastructure to developing widely used educational software at Texas A&M—and includes a unique academic background spanning ecology and deep learning. Known for translating complex interaction and information-retrieval requirements into robust implementations, he also applies qualitative analysis and user studies to inform design decisions.
14 years of coding experience
18 years of employment as a software developer
Bachelor of Science Biology, Bachelor of Science Biology at Fudan University
Deep Learning Foundation Nanodegree Deep Learning, Deep Learning Foundation Nanodegree Deep Learning at Udacity
Master of Science Computer Science, Master of Science Computer Science at Texas A&M University
Master of Science Ecology, Master of Science Ecology at University of Oklahoma
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Shenfeng Fei - Staff Software Engineer at Google DeepMind