During February 2026, Eric Cao developed more granular CUDA matrix multiplication optimization levels for the HazyResearch/ThunderKittens repository. He introduced support for TMA and epilogue pipelining, enhancing kernel efficiency and enabling finer control over GPU resource management and parallelism. Working exclusively in CUDA, Eric focused on hardware-aware kernel design and performance optimization, broadening the range of strategies available for high-throughput GPU workloads. His implementation improved computational efficiency for matrix multiplications, laying the foundation for accelerated model inference and training pipelines. The work demonstrated depth in CUDA programming and matrix multiplication, with changes tracked in a dedicated feature commit and no reported bugs.