Jossb contributed to both the tensorflow/tensorflow and google/orbax repositories, focusing on stability and code quality. In tensorflow/tensorflow, Jossb addressed internal benchmark regressions in the XLA GPU backend by temporarily disabling the Triton squeeze dimensions pass, ensuring stable performance measurements during ongoing development. This targeted C++ change allowed for reliable benchmarking and safer iteration. In google/orbax, Jossb improved repository maintainability by removing unused checkpointer_lib imports from Python files, reducing lint errors and supporting future refactors. Across both projects, Jossb applied skills in compiler design, GPU programming, and code cleanup, delivering precise, low-risk changes that improved engineering workflows.