Yujin Kim developed and documented a suite of natural language processing assets for the KU-BIG/KUBIG_2025_SPRING repository, focusing on reproducible experimentation and onboarding efficiency. She created Jupyter notebooks for tasks such as sentiment analysis, word embeddings, and transformer-based chatbot development, leveraging Python, PyTorch, and Hugging Face Transformers. Her work included project scaffolding, detailed README updates, and the integration of study resources and contest materials to support team learning. By emphasizing clear documentation and modular experimentation, Yujin enabled faster exploration cycles and improved maintainability, demonstrating depth in both technical implementation and collaborative project management within the AI domain.