Hanyi Zhou focused on stabilizing batch processing within the alibaba/ROLL repository, addressing a critical issue in AgenticPipeline’s robust batch construction. Using Python and leveraging data processing and pipeline management skills, Hanyi fixed the batch adjustment logic to correctly handle scenarios where the number of items to add exceeded the current batch size. The solution involved updating the sampling method to use replacement with numpy, eliminating runtime errors and ensuring reliable batch assembly. Although no new features were released during this period, Hanyi’s work improved the reliability and correctness of downstream data processing, reflecting a thoughtful and targeted engineering approach.