Worked on GPU-accelerated matrix multiplication within the BradLarson/max-recipes repository, focusing on improving the accuracy and efficiency of tensor core operations. Addressed a critical bug by correcting the MMA_K dimension from 8 to 4, ensuring that matrix computations yield reliable results on GPU backends. The update also involved removing a redundant no-operation constraint, which streamlined the code and reduced unnecessary branching. Leveraged expertise in GPU computing, matrix multiplication, and performance optimization, utilizing the Mojo programming language to implement these changes. This work enhanced the reliability of downstream computations and improved the overall performance of matrix operations in the project.