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, addressing performance warnings that previously occurred during batched execution. This technical approach improved throughput and scalability for batched matrix exponential workloads, aligning with deep learning and machine learning best practices. The work demonstrated a focused engineering effort, laying the foundation for broader vmap-friendly operations and contributing to more performant deep learning pipelines without introducing bug fixes during the period.