Zhenyu Zhou is a Machine Learning Engineer currently working at Meta, where they focus on building advanced machine learning systems. With extensive experience from CGG, Zhenyu designed and productionized large-scale ML pipelines and sophisticated GPU infrastructures, handling petabyte-scale datasets and exceeding client expectations through collaborative, Agile-driven projects. Their academic background includes a Ph.D. in Condensed Matter and Materials Physics from Washington University in St. Louis and a B.A. in Physics from Peking University. Prior roles also include postdoctoral research at the University of Pittsburgh and work as a research assistant at Washington University in St. Louis.
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