Jeffrey Kim
Research Intern at KAIST AI
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJeffrey Kim is an AI researcher and engineer with six years of experience building and shipping Retrieval-Augmented Generation (RAG) tooling and applied ML systems from Seoul. He is the creator and former CEO of AutoRAG, an AutoML-style toolkit that consolidates RAG module optimization and benchmarking into a single YAML-driven workflow, and currently researches at KAIST's DAVIAN lab while co-running open-source AI projects at the Rice-Bobb Foundation. Jeffrey’s background spans product-led startups and research roles—from mobile rPPG and AR-enabled video apps to industrial anomaly detection—giving him practical expertise in model adaptation to constrained devices and real-world measurement systems. A digital nomad who prefers coding with a view, he combines hands-on implementation with founder-level product instincts and a taste for open, reproducible tooling.
6 years of coding experience
2 years of employment as a software developer
학사, 산업경영공학, 소프트웨어융합, 학사, 산업경영공학, 소프트웨어융합 at Kyung Hee University 경희대학교
Github Skills (107)
python10
vector-database10
retrieval-augmented-generation10
automl10
llama-index10
optimization10
fine-tuning10
pipeline10
application10
benchmarking10
evaluation10
ocr10
open-source10
large-language-models10
llm10
Programming languages (12)
Github contributions (5)
vkehfdl1/vkehfdl1
Aug 2021 - Jun 2026
Contributions:63 pushes, 1 branch, 1 comment in 4 years 10 months
Marker-Inc-Korea/AutoRAG
Jan 2024 - Jul 2026
AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.
Contributions:60 releases, 375 reviews, 610 PRs in 2 years 6 months
analysisautomlbenchmarkingdocument-parserembeddings
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.