Leeming delivered Autotune Support for MTIA Devices in the pytorch-labs/helion repository, focusing on backend development with Python and machine learning. By extending the LocalAutotuneCache class to recognize MTIA hardware, Leeming enabled MTIA-specific autotuning and automated optimization workflows. This approach reduced the need for manual tuning and accelerated deployment of MTIA-enabled workloads. The implementation integrated seamlessly into the existing autotuning pipeline, ensuring hardware-specific performance improvements. Over the course of one month, Leeming’s work demonstrated depth in understanding both the codebase and hardware requirements, resulting in a robust feature addition that addressed a clear optimization challenge for MTIA devices.