Zhenqing Li is a senior machine learning engineer with 15 years of experience who blends deep quantitative expertise from a PhD in polymer and biomaterials with hands-on leadership in large-scale credit analytics and production ML. He led teams at Capital One building pricing, segmentation, and decision-optimization models that manage a ~$500M exposure and drive daily business decisions, bringing together predictive modeling, time series, causal inference, optimization, and MLOps. Transitioning from model risk and validation work to product-facing data science, he has proven ability to both scrutinize complex models and deploy them as business foundations. Now at Shopify after a brief data science leadership stint, he pairs rigorous experimentation and valuation experience with a background in hands-on research and polymer chemistry—an uncommon mix that helps him bridge domain science, modeling rigor, and scalable engineering.
15 years of coding experience
15 years of employment as a software developer
MS Materials Science & Engineering emphasis on Polymer, MS Materials Science & Engineering emphasis on Polymer at Clemson University
Data Science, Data Science at The Data Incubator
BS Polymer Science & Engineering, BS Polymer Science & Engineering at Fudan University
PhD Materials Science & Engineering(Polymer and Biomaterials), PhD Materials Science & Engineering(Polymer and Biomaterials) at The Ohio State University
Contributions:12 pushes, 4 branches in 4 years 6 months
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Zhenqing Li - Sr. Machine Learning Engineer at Shopify