CV
Summary
Undergraduate researcher in NLP and multimodal AI. Research interests include LLM evaluation, semantic shift, multilingual NLP, machine translation, and vision-language models. Seeking PhD opportunities beginning Fall 2027.
Education
- Applied Data Science2027-02Sungkyunkwan UniversityGPA: 4.05/4.5
- Exchange Student2026-02Hitotsubashi University
Work Experience
- Undergraduate Research Intern2025-09 - 2026-02Komachi Lab, Hitotsubashi UniversityWorked on creating a dataset for measuring cultural bias; responsible for the Korean subset of the cultural bias MQA dataset.
- Undergraduate Research Intern2025-07 - 2025-08MARS Lab, Samsung Medical CenterAssigned to object detection and segmentation tasks in medical domain; fine-tuned foundational models for skin flap detection.
- Army Sergeant2023-04 - 2024-10Defense Security Agency, Ministry of DefenseAssisted with US-ROK joint operation through translation and interpretation; automated workflows using PowerShell.
Skills
Languages
- Python
- C
- JavaScript
- R
- PowerShell
Libraries
- PyTorch
- pandas
- NumPy
- Matplotlib
- Seaborn
Publications
- Hi-DARTS: Hierarchical Dynamically Adapting Reinforcement Trading System2025International Conference on ICT Convergence 2025Developed a multi-layer trading architecture based on reinforcement learning algorithms.
- Cultural Evaluation of Large Language Models2026Manuscript in preparationInvestigating how LLMs represent and respond to culturally grounded knowledge. Led the construction and evaluation of the Korean subset of a multilingual cultural benchmark.
Portfolio
- Multilingual MQA Dataset for Cultural Bias Measuring2025ProjectExpanded previous work on cultural bias measuring datasets using Python and PyTorch.
- Closed-set Object Detection & Segmentation2025ProjectConstructed pipeline for YOLOv8/v11 and created custom semantic segmentation model with DINOv3 backbone.
- Workflow Process Automation Tool2024ProjectImplemented macro functions via Win32 API and PowerShell to automate repetitive actions.