Masterjun12 - Overview

Yurim, Oh [@Masterjun12]

masterjun12

📜 Qualifications

  • Fundamentals of Deep Learning by NVIDIA
  • Transformer Based Natural Language Processing Models by NVIDIA
  • Microsoft Certified: Azure AI Fundamentals by Microsoft
  • Microsoft Certified: Azure Data Fundamentals by Microsoft

🔭 Career

  • Received a B.S. degree in Artificial Intelligence from Jeonju University, Jeonju, Korea, in 2025.
  • Pursuing an M.S. degree in Agro AI at Jeonju University, Jeonju, Korea, in 2024 ~ Present.
  • Completed an education certificate program at the University of Toronto's C-MORE Lab.
  • Worked as a Research Intern at Dareesoft through the WEMEET program.
  • Worked as a Research Intern at the Rural Development Administration through the WEMEET program.

🌱 Research Interests

  • Graph-based AI & Knowledge Integration

    • Knowledge Graph Embedding (TransE, RotatE, DistMult)
    • Graph Neural Networks (GNN, Graph Transformer)
    • Graph-based Retrieval Augmented Generation (GraphRAG)
    • Multi-hop reasoning over structured knowledge
  • Small Language Model (SLM) Optimization

    • Lightweight model design for on-device / edge environments
    • Parameter-Efficient Fine-Tuning (PEFT, LoRA)
    • Efficient inference and memory optimization
    • Retrieval and reasoning optimization for compact models
  • Multi-Agent Systems (A2A / LLM Agents)

    • Agent-to-Agent (A2A) communication frameworks
    • Task decomposition and cooperative reasoning
    • Multi-agent orchestration using LLMs
    • Integration of external tools and knowledge sources
  • Large Language Model (LLM) Optimization

    • Retrieval-Augmented Generation (RAG)
    • Prompt engineering and structured output generation
    • Model efficiency and scaling strategies
  • Generative Models using Deep Learning

    • GAN, VAE, Diffusion Models (DDPM, Score-based)
  • Computer Vision & Medical AI

    • Image Segmentation (U-Net, DeepLab, Mask R-CNN)
    • Medical Image Analysis (Brain Tumor Segmentation)
    • Anomaly Detection (OOD, Reconstruction-based)

📚 Paper Reading and Research


🧠 Graph & LLM / Reasoning


🖼️ Computer Vision & Medical AI


 masterjun12

📫 How to reach me

🧰 Languages and Libraries

🖥️ Programming

  • Python

📓 Development Environment

  • Jupyter Notebook

🤖 Deep Learning Frameworks

  • PyTorch
  • TensorFlow
  • Keras

📊 Data Science

  • Pandas
  • NumPy
  • Scikit-learn (sklearn)

👁️ Computer Vision

  • OpenCV (cv2)
  • Ultralytics

🧠 NLP & LLM

  • LangChain
  • LlamaIndex

⚙️ MLOps & Infrastructure

🐳 Containerization & Orchestration

  • Docker
  • Kubernetes

🧩 AI System & Serving

  • vLLM (LLM Serving)
  • OpenWebUI (LLM Interface)
  • LangGraph (Agent Workflow)

🗄️ Databases & Knowledge Graph

  • Neo4j (Graph Database)
  • SQL (SQLGate)

🔄 CI/CD & DevOps

  • Jenkins
  • Nexus (Artifact Repository)

🌐 Backend & Deployment

  • Linux Server Environment
  • Nginx (Reverse Proxy)
  • WebSocket / API Integration