Summary
Kuo Zhang is a research scientist at Meta with a decade of experience building and optimizing distributed systems, cluster resource management, and energy-efficient data center infrastructure. With a CS Ph.D. and deep hands-on expertise in C++ and Python, he specializes in ML-driven resource and power management as well as ML training/serving systems for large-scale cloud environments. His work spans Ads infrastructure and video systems at Meta, plus internships at ByteDance and Samsung where he tackled GPU scheduling and on-device language models—demonstrating both systems and ML depth. Based in New Jersey, he combines academic rigor with production impact, often translating research ideas into practical scheduling and preprocessing optimizations for real-world clusters.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at Beijing University of Posts and Telecommunications
Master's degree, Computer Science, Master's degree, Computer Science at University at Buffalo
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Shandong University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University