Hi, I'm Daniel Lee .
Building intelligent systems and exploring the intersection of AI Agents and Multimodal Applications.
Currently, I am expanding my research from text-based RAG to Vision-Language Models (VLM) and Graph RAG to solve complex real-world problems.
2025
- Top Excellence Award (1st Prize)
- Top Excellence Award (Institute for Information & Communication Technology Planning & Evaluation Director's Award)
- Silver Medal
- [HCLT 2025] Enhancing Multi-Hop Complex Query Retrieval Efficiency through the Integration of RAG and Graph RAG
GitDeck - Developer Profile & Blog Platform
- GitHub Profile README Editor with real-time preview and bidirectional sync.
- Developer blog platform with social features (follow, like, comments, notifications).
- Tech: Next.js 14, FastAPI, PostgreSQL, CodeMirror 6, BlockNote, Gemini/OpenAI.
Docscanner.ai - Legal Tech Solution
- 🏆 Top Excellence Award (KU Capstone Design Competition)
- Contract Analysis AI: Automatically detects toxic clauses, missing items, and unfair terms in employment contracts.
- Tech: Next.js, FastAPI, Gemini, OpenAI, KURE-v1 (Legal Embedding), Elasticsearch.
Cardealo - Location-based Card Benefit Platform
- KU Software Engineering Course Project
- LBS Real-time Recommendation: Automatically analyzes and recommends the optimal credit card for nearby stores based on location data.
- All-in-One Management: Provides a one-stop solution for analyzing spending patterns, tracking card performance requirements, and processing payments.
- Tech: React Native, FastAPI, PostgreSQL, Gemini API, Google maps API, TMAP API, Naver Cloud Platform(Maps, OCR)
Smart Food Research Hub (Crowdworks x KU)
- 🏆 Top Excellence Award (10th SW Talent Festival)
- Developed a Multi-Agent RAG system for the food industry using Crawlers, Graph DB, and Elasticsearch to automate market research.
- 🥈 Silver Medal Winner (KU Startup Competition)
- Smart roommate matching & real estate management platform featuring AI-based lease fraud detection.
Research Focus
- Multimodal AI & Vision-Language Models (VLM)
- Retrieval-Augmented Generation (RAG) & Graph RAG
- Multi-Agent Systems & Legal AI
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AI apps, demos & services |
Impl of Multimodal model |
Scheduling, Logic, Multicycle |
Currently Learning: Large Multimodal Models (LMM), Graph Neural Networks, Advanced RAG
"Building AI systems that change the world, one intelligent solution at a time."
Visualizing my coding activity and commits over the last year.




