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 Artificial Intelligence2027-08Sungkyunkwan UniversityGPA: 4.05/4.5
- Exchange Student2026-08Hitotsubashi University
Work Experience
- Undergraduate Research Intern2025-09 - 2026-08Komachi 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
- Retrieval Without Relevance: Prompt Dependence in Small Machine Translation Models2026BabyLM Workshop at EMNLP 2026Trained SLMs from scratch under strict rule set to measure how RAG affects machine translation. Compared the machine translation performance across several conditions such as SFT and RAG.
- 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 Models2026Under review — ACL Rolling Review (August 2026 cycle)Investigating how LLMs represent and respond to culturally grounded knowledge. Led the construction and evaluation of the Korean subset of a multilingual cultural benchmark.
Presentations
- Grounding Word Senses in Vision: Multimodal Word Sense Induction202621st Young Researchers' Symposium on Language Processing (YANS 2026), posterSendai, Japan
Awards
- 3rd Place, Bias-a-Thon 2025 Track 12025Sungkyunkwan UniversityRecognized for addressing demographic biases in Large Language Models.
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.