Gagandeep Singh contributed to the tenstorrent/tt-llk and tt-metal repositories by developing and optimizing core backend features for GPU and parallel computing workflows. He introduced a new data unpacking function to streamline reduction operations, enforced API clarity by deprecating legacy code, and improved packing reliability through careful register state management. In tt-metal, he unified tensor shape handling by implementing a TensorShape abstraction, porting key low-level kernels, and modernizing test infrastructure with configurable validation thresholds. Working primarily in C++ and Python, Gagandeep focused on robust software development, debugging, and testing, delivering maintainable solutions that improved runtime reliability and test coverage.