During September 2025, Shih-Ting Li focused on stabilizing cross-architecture behavior in the onnx/onnx repository by addressing a critical bug affecting big-endian tensor handling. She corrected byte swapping logic in tensor creation for s390x architectures, ensuring accurate data representation across different endianness. Her work involved refactoring the make_tensor function and related tests, which eliminated persistent test failures on big-endian platforms and improved continuous integration reliability. Utilizing C++ and Python, along with expertise in tensor manipulation and testing, Shih-Ting’s targeted fix enhanced platform coverage and reliability, supporting more robust enterprise deployments on diverse hardware architectures within the ONNX project.