Jeffrey Lim
주임연구원 at Galux
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJeffrey Lim is a research engineer focused on applying reinforcement learning to real-world systems, currently building agent-based simulation models to validate token economies at Galux. With a decade of experience spanning cryptoeconomics simulation at Decon and hands-on AI work, he combines practical Python automation and web crawling with PyTorch implementations of research papers. A Seoul-based graduate student in AI at Seoul National University and a summa cum laude ICT/Economics alumnus, he blends rigorous academic training with applied engineering. Jeffrey is particularly skilled at turning theoretical RL ideas into testable simulations that stress economic incentives and emergent behavior. He won top recognition in KT’s AI academy during an earlier internship, reflecting both technical excellence and competitive problem-solving. His profile suggests a researcher-engineer who thrives at the intersection of AI, simulation, and tokenomics, favoring reproducible, experiment-driven validation over purely theoretical work.
10 years of coding experience
2 years of employment as a software developer
석사, 인공지능, 3.9/4.3, 석사, 인공지능, 3.9/4.3 at 서울대학교 (Seoul National University)Bachelor's Degree, ICT / Economics, 4.23 / 4.5 (Summa Cum Laude), Bachelor's Degree, ICT / Economics, 4.23 / 4.5 (Summa Cum Laude) at Handong Global University
English
Github Skills (200)
fastapi10
python10
json-schema10
swagger10
backtest10
generative10
deep-learning10
openapi10
async10
api10
swagger-ui10
rest10
actor-critic10
json10
redoc10
Programming languages (9)
Github contributions (5)
jsrimr/ProblemSolving
Sep 2018 - Jun 2022
Contributions:45 pushes in 3 years 8 months
jsrimr/Efficient-Task-Adaptation
Apr 2022 - Sep 2022
Contributions:23 commits, 4 PRs, 13 pushes in 5 months
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