Worked on the ROCm/pytorch repository to address a specific bug affecting module attribute access in PyTorch when using ModuleList objects with digit indices. Focused on refining the getattr_recursive function, the developer implemented a targeted fix to handle qualnames in complex model hierarchies, reducing runtime errors during both training and inference on ROCm-enabled hardware. This work involved backend development using Python and PyTorch, emphasizing stability and reliability for dynamic module structures. By resolving this edge case, the developer contributed to smoother model deployment and maintenance, supporting broader adoption of ROCm within the PyTorch ecosystem and reducing debugging time for users.