Summary
Yuke Zheng is a Machine Learning Engineer with eight years of hands-on experience building recommendation and retention models across large-scale consumer platforms. Trained at Tsinghua and Columbia in Business Analytics, he has driven measurable gains—improving engagement by up to 6.2% at Sohu and boosting model accuracy while cutting data processing time at Kuaishou. His work spans graph-based recommenders, hybrid ranking pipelines, anomaly detection for procurement, and production deployment at companies including Tencent and Apple capstone projects. Comfortable across Python, SQL, and C for AIoT, he combines research-grade modeling with pragmatic engineering to ship end-to-end systems. Notably, he has translated social interaction patterns from tens of millions of users into actionable retention strategies and automated exception handling that materially reduced manual audits. Based in Beijing, he thrives at the intersection of analytics, systems optimization, and product-facing ML.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at Tsinghua University
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at Columbia University