Career Description

🚀 Professional Summary: Director of AI Engineering & Quant

Expert AI Strategist & Backend Architect with over 12 years of experience in building high-stakes systems across Fintech, Energy, and Healthcare.
Specialization: Bridging the gap between cutting-edge AI (LLM, Multi-agent RAG, Reinforcement Learning) and sophisticated financial engineering (Portfolio Optimization, Risk Governance).
Proven Track Record: Led technical execution for global institutions including PIF (Saudi Arabia), Invesco (UK), and top-tier Korean fintechs, moving seamlessly from individual contribution to strategic leadership.

(Mar 2026 – Present)

Building a Quant-LLM Ecosystem: Currently architecting and refining a domain-specific LLM system using LangGraph and Transformer architectures to automate complex derivative trading workflows.
Developing Risk & Optimization Engines: Engineering a specialized Quant Engine for the precise estimation of Deep OTM option yields and covariance, while implementing MVO models with rigorous real-world constraints (20-40% hedge ratios, Delta limits).
Advancing Scenario Frameworks: Establishing and optimizing an end-to-end pipeline that simulates 20+ macro events (Black Swan, Inflation) to generate final, execution-ready order sheets for KOSPI 200 options.

Quant-LLM Ecosystem: Built a domain-specific LLM system using LangGraph and Transformer architectures to automate complex derivative trading.
Risk & Optimization: Developed a Quant Engine for precise estimation of Deep OTM option yields/covariance. Implemented MVO (Mean-Variance Optimisation) models with real-world constraints (Hedge ratios 20-40%, Delta limits).
Scenario Framework: Established an End-to-End pipeline that simulates 20+ macro events (Black Swan, Inflation) to generate final order sheets for KOSPI 200 options.

Advanced RAG Architecture: Minimized hallucinations in veterinary consultations by building an "Open-book" retrieval system using FAISS/Pinecone and specialized medical embeddings.
Vision AI for Nutrition: Integrated GPT-4o Vision and TrOCR with OpenCV preprocessing to transform unstructured pet food labels into structured JSON data.