Summary
Zhongkai Zhao is a machine learning systems engineer with seven years of experience focusing on efficient training and inference for video generation models. Currently at ByteDance and pursuing a Master of Computing (AI) at the National University of Singapore, he blends production ML engineering with rigorous academic research. His papers have appeared in top venues (FSE 2023, BMVC oral, and co-authored OOPSLA 2025), reflecting strengths at the intersection of systems and research. A top-ranked graduate from Tongji University and a visiting student at UC Berkeley, he brings strong theoretical grounding and practical optimization skills. He has moved between research labs and high-throughput industry environments, delivering ML systems work that scales to real-world video workloads. Known internally as "mlsys" on GitHub, he combines low-level systems thinking with applied ML to speed up model turnaround.
7 years of coding experience
3 years of employment as a software developer
Visiting Student, 4.0 / 4.0, Visiting Student, 4.0 / 4.0 at University of California, Berkeley
Bachelor's degree, Computer Science, 4.78 / 5.0 (Achieved 5.0 for three consecutive semesters, Overall rank: 1 / 120), Bachelor's degree, Computer Science, 4.78 / 5.0 (Achieved 5.0 for three consecutive semesters, Overall rank: 1 / 120) at Tongji University
Master of Science - MS, Master of Computing, AI Specialization, Master of Science - MS, Master of Computing, AI Specialization at National University of Singapore