Yuefei Zhu is a software engineer with 10 years of experience building production ML, deep learning, and big data systems, currently contributing at Google out of Irvine, CA. He has shipped on-device NLU and ASR research at Amazon, end-to-end deep learning solutions in banking (including a patent-pending cheque recognition pipeline), and enterprise search and streaming platforms at Scotiabank. Proficient across TensorFlow, PyTorch, scikit-learn, Spark, Elasticsearch, and Google Cloud, he bridges research-grade models and scalable production services. His background in electrical and computer engineering and early work on auction theory and optimization give him a strong analytical edge for applied ML problems. Colleagues know him for shrinking model footprints and deploying hybrid model architectures that balance performance and operational constraints.
10 years of coding experience
10 years of employment as a software developer
M.A.Sc., Electrical and Computer Engineering, M.A.Sc., Electrical and Computer Engineering at University of Toronto
Bachelor of Engineering (B.Eng.), Electronics Engineering, Bachelor of Engineering (B.Eng.), Electronics Engineering at Shanghai Jiao Tong University
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