Hi there 👋 I'm Jeffrey Kim (Dongkyu Kim) and I am RAG expert.

• 🔭 I am making AutoRAG, which is RAG AutoML tool.

• RAG optimization
• RAG evaluation
• RAG data creation
• Efficient inference of AI models and LLMs
• Build python project from zero base
• Manage open source community
• Techincal writing

• AutoRAG AutoRAG - AutoML tool for RAG. Actively developing. Building business with it.
• NomaDamas awesome-korean-llm - Awesome list of Korean LLM models.
• NomaDamas KICE-slayer-AI-Korean - Prompt Engineering for solving KSAT (수능) Korean problems.
• NomaDamas RAGchain - Building advanced Document Q&A framework. Fastest way to build DQA system with power of LLMs.
• EDAI In-game PPL Solution - Unity SDK for in-game advertising. Build thechnologies for meausring valid impressions of in-game advertisements.
• EDA IdolGAN - Researching and developing super resolution model for restoring K-pop girl group idols.
• EDA KID-F - Making high quality face image dataset of K-pop female idol.
• Whew-AI Inc. Kikic - Developed random chat app using video AI that analyze human emotions. Android front-end, ML & back-end integration to Android.
• Whew-AI Inc. Doridori Counter - Developed automatic human head shacking detector using facial landmarks and peak detection
• Whew-AI Inc. kongDak AI Development - Developed face chat which measures attractiveness score for couples
• Whew-AI Inc. RubyRuby App Development - Developed baby health measurement app using rPPG & facial landmark detection
• Whew-AI Inc. rPPG - Improved rPPG accracy (SOTA at UBFC-rPPG dataset)
• Markr Inc. Auto-orion - Developed AutoML for TadGAN

• facebookresearch/nougat
• run_llama/llama-index

• Pie & AI Seoul with GS & LlamaIndex - Tips for Korean RAG optimization and evaluation
• Pycon KR 2024 - The story to reach Github star 1.5k
• AUSGCON 2024 - 휴학, 디지털 노마드, AI, 그리고 깃허브 스타 1.3k
• TeddyNote Youtube Live - Talked about AutoRAG and RAG optimization
• PseudoCon AutoRAG Booth
• Gen AI Tools Infra & Open Source Demo Days - The BEST component for your RAG system
• RAG&AI community in Seoul - Talked about why I made AutoRAG and how to contribute to open source