Don Dennis enhanced the pytorch/FBGEMM repository by implementing support for top_k=8 in the index_shuffling MOE kernel, expanding its applicability beyond previous limits. He refactored the dispatch and tiling logic in C++ and CUDA to ensure correct kernel selection and parameter handling for the new top_k value. To maintain reliability, Don introduced targeted unit tests in Python, focusing on correctness at tile-size boundaries and preventing regressions. His work improved the maintainability and extensibility of the MOE kernel, laying groundwork for future top-k extensions and increasing test coverage. The contribution demonstrated depth in both kernel engineering and robust validation practices.