Worked on stabilizing the GetSymbolicTileAnalysis component across the Intel-tensorflow/tensorflow and openxla/xla repositories, focusing on backend development and performance optimization using C++. Addressed critical regressions by introducing a low-rank tensor constraint in the CPU backend fusion emitter, a change that reduced memory pressure and eliminated hangs and out-of-memory conditions. This technical approach, sourced from openxla/xla PR 41174, improved reliability for JAX workflows without altering APIs or user-facing behavior. Demonstrated effective cross-repository collaboration and robust pull request workflows, leveraging Copybara for code imports. The work resulted in sub-three-second benchmarks and enhanced runtime stability under constrained memory conditions.