Yu Zhou is a Staff Software Engineer specializing in machine learning infrastructure with over 15 years of hands-on experience building large-scale distributed systems and data platforms. Currently at Turo, he leads design and deployment of model-serving infrastructure (Model-as-a-Service) with a focus on ONNX-based optimization for low-latency, high-throughput inference. His background spans high-performance Java systems, Hadoop/Spark ecosystems, SQL/NoSQL databases, and protocol-level optimizations for clustered OLTP/MPP databases, reflecting deep systems and performance expertise. He has a track record of shipping production-critical middleware and drivers (ODBC/ADO.NET) and improving cluster availability and migration tooling in enterprise database products. Based in Palo Alto, he pairs practical ML deployment know-how with low-level systems skills—an engineer comfortable moving between model containers and kernel-level performance tuning.
10 years of coding experience
17 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at Jilin University
Data Science and Machine Learning, Data Science and Machine Learning at Massachusetts Institute of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Maharishi International University
Post Graduate Certificate Program Machine Learning and Data Science, Post Graduate Certificate Program Machine Learning and Data Science at Carnegie Mellon University
Tangshan No.1 High School
MBA, MBA at University of Chinese Academy of Sciences
Master's degree Computer Software and Theory, Master's degree Computer Software and Theory at Beihang University
:rocket: A powerful Gradle Plugin to help you demonstrate your android app.
Contributions:4 releases, 62 commits, 4 PRs in 1 month
gradletransformandroidandroid-appasm
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