Hi, I'm Daniel Lee . Currently evolving from RAG to Graph RAG and Vision-Language Models (VLM/VLA) to bridge digital reasoning with physical action. Striving to be a Problem Definer who doesn't just solve tasks, but poses the next big challenges.

2025

• Top Excellence Award (1st Prize)
  • KU Industry-Academic Capstone Design Competition | Project: DocScanner - Agentic RAG Legal Assistant
• Top Excellence Award (Institute for Information & Communication Technology Planning & Evaluation Director's Award)
  • 10th SW Talent Festival | Project: Smart Food Research Agent System
• Silver Medal
  • Korea University Uni-con Startup Competition | Project: e:room - AI Roommate Matching & Fraud Detection Platform

• [HCLT 2025] Enhancing Multi-Hop Complex Query Retrieval Efficiency through the Integration of RAG and Graph RAG
  • 1st Author | The 37th Annual Conference on Human and Cognitive Language Technology
  • Proposed a hybrid framework combining RAG and Graph RAG to optimize search efficiency for complex queries.

IP-to-Portrait - High-Fidelity Face Synthesis Pipeline

• Advanced AI Pipeline: End-to-end face synthesis preserving identity, background, and lighting using SDXL Inpainting & IP-Adapter FaceID Plus v2.
• Multimodal Integration: Auto-prompting via Gemini 2.5 Flash VLM and precision masking with BiSeNet & InsightFace.
• Tech: Next.js, FastAPI, Celery, Redis, PyTorch, Diffusers, ONNX Runtime.

Research Focus

• Vision-Language Models (VLM) & VLA: Focus on Physical AI and autonomous robot control
• Agentic Systems: Developing autonomous decision-making loops and agentic workflows.
• RAG & Graph RAG: Exploring advanced retrieval and knowledge graph integration for agents.

AI apps, demos & services

Impl of Multimodal model

Scheduling, Logic, Multicycle

Thanks for visiting!
"Don't just solve the problems of today; be the one to pose the challenges of tomorrow."