Bridging Healthcare and Intelligence through LLM Integration.
"I build context-aware AI systems that don't just process data, but understand the human nuance."
- 🏥 Healthcare & LLM Integration: Designing and deploying LLM-based solutions optimized for medical and complex business domains.
- 🔍 RAG Specialist: Architecting high-performance Retrieval-Augmented Generation systems using Langchain and Vector/Graph Databases.
- 🌏 Linguistic & Cultural Nuance: Actively mastering the Korean language and its social contexts to develop more sophisticated, human-centric NLP models.
- 📱 AI-Powered Product Delivery: Delivering seamless user experiences by integrating AI intelligence into Flutter-based mobile applications.
- Core Frameworks:
Langchain,LangGraph,LlamaIndex,Tensorflow,PyTorch - Serving & Ops:
FastAPI,Ollama,vLLM,Docker,HuggingFace - Libraries:
Scikit-Learn,OpenCV,NumPy,Pandas - Specialties:
RAG Architecture,Generative AI (LLMs),LLMOps
- Languages:
Python,C++,SQL,Dart - Mobile:
Flutter - Tools:
Git,Antigravity,VS Code,PyCharm,vim,Xcode
- Graph DB:
Neo4j,Cloud Spanner,Apache AGE - Vector DB:
ChromaDB,FAISS,Milvus - SQL / NoSQL:
PostgreSQL,MySQL,MariaDB,MongoDB - Infrastructure:
AWS,GCP,Firebase,Ubuntu,macOS
- Advanced RAG & Contextual Intelligence: Optimizing retrieval accuracy and ranking algorithms for domain-specific long-form documents.
- Korean Linguistic Nuance & Social Context: Exploring the intersection of NLP and Cultural Intelligence to bridge the gap in high-context communication.
- Multi-modal Data Integration: Analyzing the synergy between text and visual data to enhance situational awareness in AI systems.
- 💼 LinkedIn: devjunghun
- 📧 Email: dev.junghun@gmail.com
- 💬 Collaboration: Slack, Discord, Notion