Summary
Mingkun Zeng is a software engineer with 11 years of experience building large-scale machine learning and infrastructure systems across leading Chinese tech firms. He has led teams of 10–25 engineers to deliver model training and inference platforms for recommendation, ads, search, e-commerce, and live streaming, and now focuses on AI infrastructure, video generation, and video understanding at bilibili. His background spans core system work from AliJVM and MIUI SDK internships to production search-ads infrastructure at Baidu and ML infra leadership at Pinduoduo and Xiaohongshu, blending systems thinking with ML engineering. Known for tackling hard technical problems, he combines hands-on IC work with prior management of sizable engineering teams. Based in Shanghai, he brings research-oriented rigor from a Master’s in Computer Software Engineering to pragmatic, production-grade solutions. An uncommon strength is his cross-domain fluency—language design interests alongside distributed systems and ML—enabling him to bridge low-level performance with high-level model workflows.
11 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng.), Computer Software Engineering, Master of Engineering (M.Eng.), Computer Software Engineering at University of Science and Technology of China
Chinese, English