Jongbin Lim extended the pooling capabilities in the tenstorrent/tt-metal repository by adding average pooling (avg_pool2d) support to the existing max pool program factory. Using C++ and Python, he refactored the pooling logic to handle both max and average pooling operations, ensuring model inference flexibility and compatibility with a broader range of deep learning architectures. He implemented comprehensive tests to validate correct behavior across pooling modes, focusing on code maintainability and reuse of existing infrastructure. While the work was limited to a single feature over one month, it demonstrated solid engineering depth in deep learning and machine learning system development.