During March 2026, [Name] contributed to the opencv/opencv repository by enhancing the DNN module’s ONNX integration. They developed a feature that preserves the axis attribute during Gather-Cast fusion, ensuring that axis metadata is retained throughout the fusion process. This technical approach, implemented in C++ with CMake, improved compatibility and stability for ONNX-based models within OpenCV’s deep learning workflows. By aligning the DNN module’s behavior with ONNX semantics, [Name] reduced edge-case failures during model deployment. The work demonstrated a solid understanding of DNN graph fusion, axis metadata handling, and the intricacies of computer vision model interoperability.