Worked on stabilizing EmbeddingBag configuration handling within the pytorch/torchrec repository, focusing on maintaining backward compatibility and reducing the risk of future incompatibilities. Addressed a specific compatibility issue by refining how configuration attributes are accessed, which helps ensure that existing configurations remain functional and minimizes regression risk for downstream users. The solution was implemented using Python and leveraged strong back end development skills, particularly in managing data structures. This targeted fix improved the reliability of production workflows and supported smoother upgrades for users of TorchRec, contributing to the overall stability and maintainability of the codebase during the development period.