Bobb Kim is an AI engineer based in Seoul who builds practical LLM-driven agents to eliminate repetitive Slack and email bottlenecks for teams. With 4 years of experience across startups and open source, he created AutoRAG — an automatic RAG evaluation and optimization framework that earned 4.6k+ GitHub stars and became the foundation for a commercial product. At Runbear he focuses on grounding responses in real documentation and tribal knowledge to avoid confident-but-wrong AI outputs. His background includes co-founding ventures and shipping multiple open-source RAG tools (RAGChain, Kice-Slayer) and applied research with Korea’s NIA, blending product instincts with research rigor. A digital nomad and cafe coder, he’s as comfortable shipping production agents as he is iterating on prompt and retrieval strategies.
4 years of coding experience
2 years of employment as a software developer
학사, 전자공학, 컴퓨터공학, 학사, 전자공학, 컴퓨터공학 at Kyung Hee University
Contributions:3 reviews, 4 PRs, 5 pushes in 2 months
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