During two months contributing to PaddlePaddle/Paddle, Ning Zhengsheng enhanced core tensor operations by expanding zero-size tensor handling and adding float16 pooling support, improving robustness for edge cases in deep learning workflows. He implemented API aliasing and dtype compatibility to streamline cross-framework integration, using C++, Python, and CUDA for backend and kernel development. Ning also translated internal documentation to English, facilitating onboarding for new contributors. His work included stabilizing CI pipelines in PaddlePaddle/PaddleCustomDevice by addressing flaky NPU tests. These efforts deepened the reliability, flexibility, and maintainability of the codebase, reflecting a strong focus on production-grade engineering and developer experience.