Shunping Huang is a software engineer with 13 years of experience bridging academic research and production ML systems, currently building scalable solutions at Google from Chapel Hill. He holds a Ph.D. from UNC Chapel Hill and dual bachelor's degrees in Computer Science and Statistics from Peking University, a background that informs his rigorous approach to model development and statistical validation. Before Google he progressed through technical and leadership roles at SAS—moving from research statistician to principal machine learning developer—delivering enterprise-grade analytics and productionized ML features. Colleagues describe him as a pragmatic researcher who translates complex algorithms into maintainable, high-throughput code and who values reproducibility and robust metrics. He brings deep domain knowledge in statistical modeling combined with hands-on software engineering at scale.
13 years of coding experience
7 years of employment as a software developer
Bachelor's degrees, Computer Science and Statistics, Bachelor's degrees, Computer Science and Statistics at Peking University
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of North Carolina at Chapel Hill
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Contributions:16 pushes, 2 branches in 1 year
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