hannune
Senior Ai Engineer | Llm Agents & Graph Rag
Senior AI engineer with 7 years building production LLM agent systems and Graph RAG architectures. M.Sc. from Seoul National University, 2 granted patents in AI optimization.
I design multi-agent pipelines using LangGraph, LangChain, and Neo4j. Shipped systems for enterprise clients including LG Energy Solution, Netflix, Sony, and GS Retail.
Current personal project: 2asy.ai, a Graph RAG economic intelligence platform on Neo4j tracking tariff and trade causal chains. Ingests 2,400 articles per day, selectively promotes 100 per day to the knowledge graph, runs on local GPU inference at approximately 5% of cloud API cost.
Domain overlap with crypto: causal chain reasoning across financial events, time-series anomaly detection, multi-agent orchestration for market signals.
Live demos at demo.hannune.ai. Looking for global remote contractor role to design and ship LLM agent products end-to-end. Available for async work across all time zones.
I design multi-agent pipelines using LangGraph, LangChain, and Neo4j. Shipped systems for enterprise clients including LG Energy Solution, Netflix, Sony, and GS Retail.
Current personal project: 2asy.ai, a Graph RAG economic intelligence platform on Neo4j tracking tariff and trade causal chains. Ingests 2,400 articles per day, selectively promotes 100 per day to the knowledge graph, runs on local GPU inference at approximately 5% of cloud API cost.
Domain overlap with crypto: causal chain reasoning across financial events, time-series anomaly detection, multi-agent orchestration for market signals.
Live demos at demo.hannune.ai. Looking for global remote contractor role to design and ship LLM agent products end-to-end. Available for async work across all time zones.
Experience: 8 years
Yearly salary: $150,000
Hourly rate: $80
Nationality: 🇰🇷 South Korea
Residency: 🇰🇷 South Korea
Experience
AI Agent Engineer
LG Energy Solution 2026 - 2026
Designed and delivered a LangGraph multi-agent pipeline for automating talent data collection from complex web sources. Built schema-aware extraction with Crawl4AI, retry, fallback, and quality-check logic across agent nodes. Delivered production system integrated into internal HR operations.
AI Engineer
Scenera 2023 - 2025
Delivered production AI systems for enterprise clients including Netflix, Sony, GS Retail, and LG Science Park. Designed NL-to-SQL agent reducing analyst request time by ~75%. Built real-time IoT pipeline on Azure plus Delta Lake. Time-series anomaly detection for GS Retail refrigeration (~80% accuracy). DeepStream inference optimization and Edge AI deployment on Qualcomm Adreno GPU for Sony.
Skills
python
solidity
ai
english
korean