Worked on optimizing audio processing in the Blaizzy/mlx-audio repository by removing the PyTorch dependency from Cohere ASR buffer loading. Addressed the inefficiency of reading small tensors from safetensors checkpoints by replacing safe_open with mx.load(), which reduced memory usage and improved deployment portability. This change eliminated the need for a large PyTorch load path, streamlining the startup process and simplifying runtime environments. The work focused on Python and leveraged machine learning and audio processing expertise to enhance maintainability. The update was implemented as a feature addition, reflecting a targeted and technically sound approach to dependency management and resource optimization.