Kanya Mo focused on enhancing the reliability and maintainability of the XPU backend in the intel/torch-xpu-ops repository by developing a comprehensive test suite for the aten::record_stream functionality. Using C++ and leveraging GPU programming expertise, Kanya validated memory management and stream synchronization during tensor operations, addressing potential correctness issues and reducing future debugging time. The work included targeted refactoring of RecordStream.cpp to improve code organization and long-term maintainability. These efforts established a stronger foundation for future performance optimizations and smoother feature integration, reflecting a thoughtful approach to software maintenance and testing within a complex PyTorch and XPU environment.