During August 2025, Ynona Olga focused on improving the pytorch/audio repository by addressing a critical bug in the mask_along_axis_iid function. She resolved CPU-GPU synchronization issues by removing unnecessary .item() calls and implemented conditional logic to handle mask_value as either a float or a tensor. Using her expertise in Python, PyTorch, and tensor manipulation, Ynona expanded unit test coverage to validate tensor-based scenarios, enhancing the reliability of mask processing across devices. Her work contributed to more robust and maintainable audio feature pipelines, demonstrating a thoughtful approach to cross-device compatibility and code quality within the audio processing domain.