Gangmuk Lim
Research Intern at Microsoft Research
Urbana, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolGangmuk 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.
9 years of coding experience
3 years of employment as a software developer
Telecommunication, Telecommunication at FH Technikum WienPhD (dropped out in two months), Finance, PhD (dropped out in two months), Finance at KAIST COLLEGE OF BUSINESSDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-ChampaignMaster of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at Ulsan National Institute of Science and Technology
Github Skills (39)
python10
machine-learning10
deep-learning10
tensorflow10
ml9
inference9
deep-neural-networks9
neural-network9
genai8
proxies8
kubernetes7
security7
pcm7
consul7
performance-counters7
Programming languages (4)
Github contributions (5)
ServiceLayerNetworking/SLATE
Sep 2023 - May 2026
A system that optimizes microservice traffic in real time.
Contributions:4 PRs, 98 pushes, 3 branches in 2 years 8 months
microservicesistiokubernetesmicroservice
gangmuk/gangmuk.github.io
Aug 2019 - May 2026
Contributions:296 pushes, 2 branches in 6 years 10 months
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