During July 2025, this developer focused on backend stability for the modelscope/ms-swift repository, addressing a persistent bug in the multi-turn training data pipeline. They refactored the inputs_to_rolloutrequest function using Python, improving the logic for merging data_dict structures to prevent unwanted nesting during repeated calls. By tightening the data handling approach, they ensured that existing and new data merged correctly, reducing the risk of data corruption and enhancing training consistency. Their work maintained compatibility with existing interfaces while improving traceability through clear commit documentation. This contribution demonstrated depth in backend development, bug fixing, and robust data management within machine learning workflows.