Summary
Gangmuk Lim is a systems and networking researcher-engineer and 4th-year PhD student at UIUC, specializing in infrastructure for LLM inference—request routing, cluster configuration, and orchestration. With eight years of experience spanning research internships and industry roles (including ByteDance and Tandemn), he builds self-optimizing distributed inference systems and has contributed projects like AIBrix, Lodestar, SLATE, and Kivi. His work bridges formal verification of cluster managers and practical GPU-sharing techniques for DNN workloads, showing a rare mix of theory and production focus. Based in Urbana-Champaign, he frequently publishes code and demos on his personal site and GitHub, and has hands-on experience simulating specialized hardware environments from earlier research roles.
8 years of coding experience
3 years of employment as a software developer
Telecommunication, Telecommunication at FH Technikum Wien
Doctor of Philosophy - PhD (dropped out in two months), Finance, Doctor of Philosophy - PhD (dropped out in two months), Finance at KAIST COLLEGE OF BUSINESS
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Master of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at Ulsan National Institute of Science and Technology