Gangmuk Lim

Researcher And Engineer at Tandemn

Urbana, Illinois, United States
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Summary

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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.
code8 years of coding experience
job3 years of employment as a software developer
bookTelecommunication, Telecommunication at FH Technikum Wien
bookDoctor of Philosophy - PhD (dropped out in two months), Finance, Doctor of Philosophy - PhD (dropped out in two months), Finance at KAIST COLLEGE OF BUSINESS
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
bookMaster of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at Ulsan National Institute of Science and Technology
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Github Skills (43)

python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
data-science9
ml9
deep-neural-networks9
microservices8
energy8
counter8
proxies8
security8
pcm8
intel7

Programming languages (4)

C++GoJupyter NotebookPython

Github contributions (5)

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gangmuk/gangmuk.github.io

Aug 2019 - Mar 2025

Contributions:206 pushes, 2 branches in 5 years 8 months
ServiceLayerNetworking/SLATE

Sep 2023 - Jun 2024

Contributions:91 pushes, 1 branch in 8 months
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Gangmuk Lim - Researcher And Engineer at Tandemn