Alberto Cabrera developed 3D tensor support for matrix multiplication in the ggml-org/llama.cpp and ggml-org/ggml repositories, enabling more complex tensor operations on CPU backends. He implemented robust data integrity checks and strict bounds assertions using C++ to prevent out-of-bounds access and ensure reliable data handling. By addressing performance regressions related to chunking in 3D tensor paths, Alberto stabilized workloads for models like Qwen and Llama. His work included optimizing algorithms, cleaning up code for maintainability, and enforcing formatting standards. These enhancements improved cross-repository consistency, allowing downstream projects to adopt uniform 3D tensor operations with greater reliability and efficiency.