Yanzhao Zhao developed and integrated a session-level precision metric for the pytorch/torchrec repository, enabling more granular evaluation of session-based models. The work involved designing the PrecisionSessionMetric and implementing the supporting computation logic in Python, with a focus on metric evaluation and machine learning best practices. By expanding the available metrics within torchrec, Yanzhao’s contribution allows teams to gain actionable insights into model performance at the session level, supporting more targeted optimization and iteration. The implementation demonstrated depth in metric design and seamless integration with existing PyTorch infrastructure, reflecting a thoughtful approach to enhancing model evaluation capabilities for session-based tasks.