Worked on stabilizing AOTInductor compilation in the pytorch/pytorch repository by addressing a specific issue with float type handling in the rebind_unbacked path of torch.fx.experimental.symbolic_shapes. Focused on backend development using Python and applied machine learning knowledge to ensure that models leveraging symbolic shapes compile reliably. Delivered a targeted bug fix that prevents runtime errors during AOTInductor compilation, reducing deployment risk and improving workflow robustness. Demonstrated strong debugging and code-traceability skills by implementing a precise, auditable patch that aligns with repository standards, ultimately enhancing the reliability of symbolic shape support in PyTorch’s advanced compilation pipeline.