🌱 I’m currently learning on NLP and ML/DL

• 🌐 Multi-interaction System with LangGraph
  Designing a multi-agent conversational AI with contextual memory for sustained dialogue and persona consistency.
  LangGraph, RAG, VectorDB, OpenAI API

• 🧠 Multi-Domain Semantic Abstraction
  Exploring how to bridge subconcepts from different domains into higher-level ideas using LLM + retrieval systems.
  Graph-RAG, Concept Inference, Multi-Context Reasoning

• 💬 Lang2SQL: Natural Language to SQL Generator (Open Source @ PseudoLab)
  An open-source initiative to democratize SQL by allowing users to write natural language and get optimized SQL queries instantly.
  → Designed for beginners and analysts entering data teams, addressing real-world SQL bottlenecks.
  → Stable 1.0.0 Release goal with LangGraph-powered query generation, best-practice optimization, and intelligent table/column selection.
  → Collaboratively built with a diverse team from the PseudoLab community.
  LLM, LangGraph, Prompt Engineering, SQL Optimization, Open Source, Multi-Agent Query Planner

  “우리는 함께 코드와 아이디어를 나누며 더 나은 데이터 환경을 만들기 위한 오픈소스 여정을 떠납니다.” 🌍💡

  🔗 GitHub Repository
  

• 🎓 University Admission Prediction System
  Building a system to visualize and predict university acceptance based on GPA and test score trends.
  scikit-learn, Pandas, XGBoost, Streamlit