Brandon Miller enhanced runtime efficiency and developer workflows across NVIDIA’s numba-cuda and cuda-python repositories by building features that optimize CUDA kernel dispatch and expand PTX handling. Using Python and CUDA programming, he prevented unnecessary kernel launches in the Numba CUDA dispatcher by conditionally initializing runtime statistics, reducing overhead when statistics are disabled. In cuda-python, he improved ObjectCode support by enabling instance creation from PTX files, refining symbol mapping, and adding compatibility checks, which increased stability and flexibility. He also strengthened test coverage with new linker tests for ObjectCode output, demonstrating a thorough approach to performance optimization and software validation.