Zichen Wang is a software engineer with nine years of experience building performant user-facing systems and recommendation models, currently contributing to Meta’s In-Feed Recommendation team as a Machine Learning Engineer. He combines a solid front-end background—having optimized high-traffic merchant dashboards and mobile apps—with big-data and statistics fluency reflected in his GitHub bio. His work has reduced load times and crash rates in production products used by tens of thousands of users, and he has moved between fast-paced environments from ByteDance to Trip.com. Holding an MS in Computer Science from the University of Rochester and a BS from Purdue, he brings both rigorous academic training and hands-on production experience to data-driven feature engineering and system performance.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Rochester
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Purdue University
Contributions:2 commits, 2 pushes, 1 branch in 10 months
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