Gyewon Lee
AI System Researcher at FriendliAI
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolGyewon Lee is an AI system researcher with a PhD from Seoul National University and a decade of experience building efficient, production-ready systems for AI training and inference. Based at Friendli AI in Seoul, he focuses on large-scale language models, distributed data processing, and making complex ML systems easier to use and operate. His research roots in SNU's Software Platform Lab and hands-on participation in Apache projects like Nemo and REEF reflect a blend of academic rigor and open-source pragmatism. Gyewon is particularly interested in system-level optimizations that accelerate model throughput and lower deployment friction—skills that bridge research prototypes and scalable engineering.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Seoul National University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
csharp9
java9
stream9
big-data8
high-performance7
apache7
data-processing7
data-stream7
iot6
stream-processing6
sdk6
windows4
python4
cli3
wsl23
Programming languages (2)
Github contributions (5)
DifferentSC/FASTER
Mar 2020 - Jan 2022
Fast persistent recoverable log and key-value store, in C# and C++, from Microsoft Research.
Contributions:138 pushes, 6 branches in 1 year 10 months
microsoft-researchrecoverabledotnetoperationdatabase-access
DifferentSC/gw-stream-bench
Apr 2018 - Jun 2019
The benchmark for stream processing systems which handle large internal states
Contributions:1 PR, 209 pushes, 4 branches in 1 year 2 months
stream-processinginternalbenchmarkstreamhandle
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