During June 2025, Yuanyao worked on the pytorch/pytorch repository, focusing on enhancing ONNX export reliability for transformer models. He addressed a critical bug in the ONNX Attention-23 exporter by correcting how the number of attention heads was inferred, ensuring the exporter reads the correct input dimension and aligns with expected model shapes. This fix, implemented in Python using PyTorch and ONNX, restored stable export functionality and reduced shape-related runtime errors. Yuanyao’s work demonstrated careful debugging and a deep understanding of dimension analysis, contributing to improved code maintainability and interoperability between PyTorch models and the ONNX ecosystem.