During March 2025, Drab Catsup Suitor focused on improving experiment artifact reliability in the Lightning-AI/pytorch-lightning repository by addressing a critical bug in Neptune integration. They refactored the model checkpoint upload process to use Neptune’s run.upload() method, ensuring correct file extension handling and accurate logging of checkpoint types. This change, implemented in Python and leveraging skills in deep learning, file handling, and MLOps, enhanced the reproducibility of experiment artifacts and reduced troubleshooting time caused by misclassified files. The collaborative fix, co-authored with Seppo Enarvi, demonstrated careful attention to integration standards and contributed to more robust experiment tracking workflows.