- B.S. in Industrial & Data Engineering, Hongik University (Mar. 2022 – Feb. 2027)
- Undergraduate Research Assistant, Artificial Intelligence Application Lab, Hongik University
- Undergraduate Research Assistant, Intelligent Robot Optomechatronics Lab, DGIST
- Data Evaluation Intern, Kanana Quality Assessment Team, Kakao Corp.
- Research interests: Computer Vision, Multimodal AI, Medical AI, Human-Centered AI
- Computer Vision (3D Reconstruction, Detection, Segmentation)
- Multimodal Learning (Image · Signal · Text)
- Medical AI & Healthcare Applications
- Human-Centered AI & Model Evaluation
Artificial Intelligence Application Laboratory, Hongik University
Sep. 2024 – Dec. 2024
- Generated DRR-based synthetic X-ray images using LIDC-IDRI
- Constructed 2-channel inputs by combining frontal and lateral views
- Implemented 3D U-Net-based Generator and Patch-based Discriminator
- Improved volumetric CT reconstruction quality by combining L1 Loss + GAN Loss
Intelligent Robot Optomechatronics Laboratory, DGIST
Jul. 2025 – Aug. 2025
- Modeled puncture prediction from 5-channel optical time-series signals
- Explored LSTM, zero-shot, and few-shot approaches
- Achieved best performance with ResNet18 (AUC 0.955) through extensive tuning
- Addressed class imbalance and early prediction issues via loss redesign and sampling strategies
Intelligent Robot Optomechatronics Laboratory, DGIST
Jul. 2025 – Aug. 2025
- Detected red reference lines in X-ray images using HSV-based color filtering
- Identified needle positions with YOLOv8s
- Built an MLP classifier using geometric features with ensemble learning
- Achieved F1-score 0.965, Accuracy 0.951, and 98.6% precision for high-risk detection
- Extended binary classification to 4-class risk level prediction
Kanana Quality Assessment Team, Kakao Corp.
Sep. 2025 – Dec. 2025
- Designed HFL-based evaluation test cases for the LLM Kanana
- Improved test case quality metrics by approximately 8%
- Categorized test cases by factuality, multi-step reasoning, and error handling
- Conducted benchmarking against Gemini and GPT
- Reduced inter-evaluator variance by formalizing evaluation guidelines and reference answers
Jan. 2026 – Feb. 2026
- Built an LLM-powered document understanding and QA pipeline for medical receipt images
- Implemented hybrid RAG (BM25 + vector retrieval) for evidence-grounded responses
- Orchestrated an end-to-end LangChain-based agent with an interactive Streamlit interface
Sep. 2024 – Dec. 2024
🔗 Streamlit Demo: https://hongik1.streamlit.app/
- Developed bankruptcy prediction models (DNN, Decision Tree, KNN)
- Achieved AUC 0.99, Recall 0.97 with DNN
- Applied KMeans + PCA for high-risk customer segmentation
- Identified key risk drivers using Random Forest
- Deployed real-time inference via Streamlit
Optimizing Drone Station Locations and Drone Allocation Using Forecasted Demand for Emergency Blood Pack Delivery
Lee, C., Jung, H., Jang, H., Yu, J., Lee, C., & Kim, H. L.
- Recipient of Council President’s Award
- CO-Data Station Essay Competition, National Research Foundation of Korea
Mar. 2025 – Aug. 2025
- Developing YOLOv8-based multi-food object detection models
- Experimenting with YOLOv5 / YOLOv8 for performance comparison
- Implementing GNN-based nutrient matching algorithms
Mar. 2024 – Aug. 2024
- Designed an end-to-end framework integrating demand forecasting and facility location optimization
- Modeled emergency blood demand using public medical and traffic datasets
- Applied K-means clustering to hospital geospatial data with Q95 demand indicators
- Solved a location-allocation optimization problem under operational constraints
- Conducted simulation-based validation for scalability analysis
Languages & Tools
Python, R, Git, Jupyter, VS Code, Streamlit, Notion
Frameworks & Libraries
PyTorch, TensorFlow, scikit-learn, Pandas, Matplotlib
AI / ML
Computer Vision, Deep Learning, Time-Series Modeling, Multimodal Learning, Optimization
- TOEIC Speaking IH (2025)
- SQLD (2024)
- ADsP (2023)
- Merit Scholarship, Hongik University (2024–2025)
- Council President’s Award, CO-Data Station Competition (Top 7 Nationally)
- 📍 Seoul, South Korea
- 📞 codnjsruby1@naver.com
- 📧 codnjsruby1@naver.com