Worked on improving the robustness of JPEG decoding in the pytorch/vision repository by addressing a memory leak that occurred when processing malformed JPEG files. The solution involved introducing std::optional in C++ to manage tensor allocations safely, ensuring that resources were properly released in error scenarios. This approach enhanced error handling and resource management, reducing the risk of leaks and runtime failures in production image processing pipelines. The work required close collaboration with other contributors and demonstrated strong skills in C++ development, memory management patterns such as RAII, and image processing, resulting in more reliable decoding functionality for edge-case inputs.