During November 2025, contributed to the yt-dlp/yt-dlp repository by implementing an API integration for RinseFM episode and show data, focusing on enhancing the reliability and efficiency of data retrieval. Refactored the existing RinseFM extractors to consume the new API, which improved both the accuracy and speed of backend data extraction processes. Addressed a specific extractor reliability issue through a targeted code fix, resolving a documented problem in the project. The work involved close collaboration with other contributors and demonstrated proficiency in Python, API integration, and backend development, resulting in a more robust and maintainable data extraction workflow for the project.