In November 2025, Lei Gao enhanced the ai-dynamo/aiperf repository by optimizing DatasetManager to prevent duplicate requests in multi-turn conversation scheduling. By leveraging asynchronous programming and backend development skills in Python, Lei restructured the scheduling logic to use only the first turn’s timestamp, ensuring that subsequent turns did not trigger redundant processing. This approach improved both reliability and throughput for conversation handling while maintaining data integrity. Lei also implemented unit tests to verify that the timing dataset accurately reflected the new logic and avoided duplicates. The work demonstrated thoughtful problem-solving and a clear understanding of efficient, maintainable backend systems.