During January 2025, Maxime Beaujean-Roch focused on improving data processing reliability in the DeepLabCut/DeepLabCut repository. He addressed a critical bug in the video data handling pipeline by ensuring that video sets were consistently represented as lists rather than dictionaries, which enabled proper indexing and reduced the risk of downstream processing errors. This fix enhanced data integrity across model workflows and prevented failures in video pipelines. Maxime applied his expertise in Python and bug fixing to identify and resolve the structural issue, demonstrating a methodical approach to maintaining robust data workflows. His work contributed depth in backend data handling and validation.