During September 2025, Zhangshen focused on improving the stability of AOTInductor compilation in the pytorch/pytorch repository. He addressed a specific issue with float type handling in the rebind_unbacked path of torch.fx.experimental.symbolic_shapes, delivering a targeted bug fix that prevents runtime errors during model compilation. By tracing and resolving this backend issue, Zhangshen enhanced deployment reliability for machine learning models leveraging symbolic shapes. His work involved careful debugging and code traceability, resulting in a precise, auditable patch. Utilizing his expertise in Python and backend development, Zhangshen contributed to a more robust AOTInductor workflow within the PyTorch ecosystem.