About
Building and applying RAG, AI Agents, and LLMOps in production services and enterprise training environments. Founder of DDOK.AI, currently working with JAEN and Multicampus.
Tensorflow Certificate, Big Data Analytics Engineer (Korea)
Core Areas
- LLM service design & deployment (RAG, LLMOps, Agent)
- Data analysis & machine learning in production
- Custom AI training programs for enterprises
Recent Training (2024–2026)
- Samsung SDS — RAG Intro/Advanced
- Samsung Electronics MX — AI Agent Full Stack
- SK Innovation — SKI AI Frontier, ML/DL CAMP, AI Agent for Strategy Org
- SK Hynix — LLM Advanced, NoCode AI Agent, AI Agent Framework
- mySUNI — RAG-based LLM Service, LLMOps
- Samsung Electronics — AI Essential, Cursor AI Dev, Ollama AI Agent
- GS Caltex — Data Analysis with Python
Training data/AI across industries (public, enterprise, finance, manufacturing) since 2018.
Projects
- Korean Army Future Innovation Center — AI command decision support, EO/SAR satellite VQA model, defense AI surveillance platform
- SK Biopharm — Epilepsy seizure detection & prediction algorithm
- ETRI — LPWA network optimization with ML
- KAIA — DTN/Embedded security for drone QoS
Open Source
- langchain-age — Apache AGE + LangChain integration package (Maintainer)
- DeepCoWork — AI Agent desktop app built on DeepAgents SDK (Creator)
- LangChain-OpenTutorial — Infrastructure Team PM
- GitHub · LinkedIn
Disclosure
The author is the maintainer of langchain-age. Benchmark posts comparing Apache AGE with other databases reflect this relationship. All benchmark code is open-source and reproducible.