Benqiang Zhu is a Staff Software Engineer in Bellevue with 11 years of experience building large-scale machine learning and personalization systems for companies like Uber and Google. He blends deep research roots—a PhD in Computational Materials Engineering and HPC-era C++/CUDA experience—with production ML at scale, from Ads quality and O2O measurement pipelines to ranking and deep learning for personalization. His background spans computer vision, numeric modeling and feature engineering, giving him a rare combination of algorithmic rigor and pragmatic optimization for constrained environments. Known for translating prototypes into optimized C++/large-data pipelines, he excels at bridging research, engineering and product needs to deliver robust, high-throughput systems.
11 years of coding experience
13 years of employment as a software developer
PhD, Computational Materials Engineering, PhD, Computational Materials Engineering at The University of British Columbia
Contributions:2 pushes, 1 branch in 1 year 2 months
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