During March 2026, Fbc19981221 enhanced the InfiniTensor/InfiniCore repository by developing new deep learning operations to broaden model support and streamline integration of common neural network layers. Leveraging C++, CUDA, and Python, Fbc19981221 implemented average pooling, cross-entropy loss, and several activation functions, directly addressing usability and deployment speed for deep learning pipelines. The work focused on expanding the core library’s capabilities while maintaining code quality through structured pull requests and collaborative code reviews. Although the contribution was limited to a single feature over one month, it demonstrated depth in both technical execution and alignment with the project’s roadmap and best practices.