In June 2025, Boris Vitsyn contributed to the pytorch/pytorch repository by implementing a feature enhancement that enables efficient vectorized map (vmap) support for the matrix exponential operation. He developed a new batching rule for torch.matrix_exp using C++ and Python, which reduces performance warnings and improves throughput for batched workloads in deep learning pipelines. This work aligns with repository standards and addresses the need for scalable, vmap-friendly operations in machine learning applications. The depth of the contribution lies in its focus on both performance and maintainability, laying the groundwork for broader support of batched operations within PyTorch’s core functionality.