Worked on stabilizing real-time audio processing in the Blaizzy/mlx-audio repository by addressing a critical bug in the AudioEncoder component. Focused on the downsample_and_project function, the developer ensured that when input sequences were shorter than the downsample factor, the function would return a zero tensor with the correct decoder dimension, preventing downstream errors during chunked output concatenation. This solution was reinforced with targeted regression and unit tests to safeguard against edge-case failures, particularly in short-tail concatenation scenarios. The work leveraged Python and deep learning techniques, emphasizing robust unit testing and runtime stability for streaming inference pipelines.