During October 2025, Thomas Trouwen focused on backend development for the pytorch/pytorch repository, delivering hardware acceleration for the all_all_out operation. He integrated a new MTIA kernel, enabling faster tensor operations on MTIA-enabled devices by aligning kernel registration and dispatch within the PyTorch codebase. This work leveraged his skills in performance optimization and hardware acceleration, with a technical emphasis on YAML for configuration and kernel integration. By targeting high-throughput workloads, Thomas improved both execution speed and hardware utilization for PyTorch users. The depth of his contribution is reflected in the end-to-end integration and alignment with PyTorch’s broader performance goals.