Worked on the NVIDIA/cutile-python repository to enhance developer experience and reliability for CUDA-based tensor operations. Focused on improving error handling in the Cat function by delivering a targeted bug fix that clarified shape compatibility messaging for cuda.tile.cat. This update provided more readable and actionable diagnostics when incompatible shapes were encountered, reducing debugging time for downstream machine learning workloads that rely on dynamic tensor shapes. The work maintained API compatibility and ensured stable behavior with existing tests, demonstrating careful attention to code quality. Utilized Python and CUDA, applying strong debugging skills to improve messaging clarity and overall reliability of the codebase.