Over two months, 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. Kim created Jupyter Notebook-based workflows for tasks such as text preprocessing, word embeddings, sentiment analysis, and transformer-based chatbot development, leveraging Python, PyTorch, and Hugging Face Transformers. The work included detailed README updates, asset management, and project scaffolding to support scalable experimentation. By delivering hands-on tutorials and study resources, Kim enabled faster exploration cycles and knowledge sharing, while also enhancing maintainability and clarity for future contributors. The work demonstrated technical breadth and practical depth.