Over two months, Park GyeongTae enhanced the CausalInferenceLab/Lang2SQL repository by modularizing the Streamlit UI, improving database dialect management, and refining Docker-based deployment workflows. He addressed tutorial reliability with FAISS tooling, updated environment guidance, and streamlined container startup using Python, Docker, and PostgreSQL. His work included reorganizing utilities and connectors for maintainability, updating dependency management with pyproject.toml, and improving error handling and testability through docker-compose scaffolding. In apache/zeppelin, he reduced maintenance overhead by removing obsolete TravisCI scripts. These contributions deepened code modularity, improved deployment reliability, and facilitated easier onboarding for future contributors through clear structure and documentation.