Worked on stabilizing GPU backend performance in TensorFlow’s XLA GPU path by temporarily disabling the Triton squeeze dimensions pass to address internal benchmark regressions, ensuring reliable performance measurements during development. This targeted C++ change in the tensorflow/tensorflow repository preserved benchmarking integrity and allowed for safe, rapid iteration. Additionally, contributed to the google/orbax repository by performing code cleanup in Python, removing unused checkpointer_lib imports to improve code hygiene and reduce lint errors without altering runtime behavior. Demonstrated skills in compiler design, GPU programming, and performance optimization, focusing on maintainability and stability across both high-performance and code quality initiatives.