During November 2024, Kevin Bonneau developed an efficient checkpointing system for the ClementiGroup/mlcg repository, focusing on data management and simulation workflows. He implemented a data reduction approach in Python, modifying the checkpointing process to store only essential state information—positions and velocities—thereby reducing storage requirements and I/O overhead. Kevin also introduced logic for managing save, export, and log intervals, including runtime validation and user warnings when specified intervals diverged from those in the checkpoint. By ensuring the system consistently preferred checkpointed intervals, he improved reproducibility and stability, while enhanced logging and warnings increased observability around configuration and state transitions.