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 (88)
python10
vector-database10
retrieval-augmented-generation10
automl10
optimization10
fine-tuning10
pipeline10
gpt10
application10
benchmarking10
evaluation10
open-source10
llm10
data-structures10
generative-adversarial-network9
Programming languages (11)
Github contributions (5)
Marker-Inc-Korea/AutoRAG
Jan 2024 - Mar 2025
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Contributions:55 releases, 369 reviews, 578 PRs in 1 year 2 months
analysisautomlbenchmarkingdocument-parserembeddings
vkehfdl1/vkehfdl1
Aug 2021 - Mar 2025
Contributions:54 pushes, 1 branch, 1 comment in 3 years 7 months
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.