Worked on the pytorch/torchrec repository to enhance the feature processor path by improving logging clarity and reducing unnecessary log noise. Focused on backend development using Python, the contribution involved refactoring the logging system to replace verbose per-processor logs with a concise summary of the total feature processors. This lightweight change maintained existing behavior while making debug output more readable and manageable. The update was validated through continuous integration, ensuring stability. By streamlining logging management and supporting easier debugging, the work improved observability and maintainability, enabling faster triage and supporting future development in the TorchRec feature processor workflow.