Yuchen Yao focused on restoring and stabilizing Bazel-based build workflows across the Intel-tensorflow/xla and ROCm/tensorflow-upstream repositories. By reverting problematic changes and re-establishing Bazel query and workspace configuration, Yuchen addressed critical issues that had disrupted continuous integration reliability. The work involved Python scripting and YAML configuration to manage dependencies and integrate benchmark validation steps, ensuring that builds could be validated efficiently and performance checks could be conducted reliably. This targeted engineering effort improved CI stability, reduced debugging overhead, and laid the foundation for ongoing performance benchmarking, demonstrating depth in build system configuration and cross-repository dependency management within complex codebases.