
During July 2025, Xinxin Mo focused on restoring and hardening continuous integration pipelines for core XLA tooling in the Intel-tensorflow/tensorflow and Intel-tensorflow/xla repositories. Addressing service outages that disrupted automated checks, Xinxin re-enabled failing CI test targets for the HLO diff tool, ensuring reliable feedback for developers and reducing the risk of regression blocking release cycles. The work involved troubleshooting Bazel build configurations and stabilizing CI/CD workflows using Python and YAML, with careful cross-repo coordination between TensorFlow and XLA teams. This effort improved the resilience of automated testing infrastructure, supporting ongoing development velocity and minimizing future test-blocking outages.

Month: 2025-07. This period focused on restoring and hardening CI test targets for core XLA tooling across two Intel-influenced TensorFlow repos, enabling reliable automated checks and maintaining release velocity. Key outcomes included re-enabling failing test targets for the HLO diff tool and stabilizing CI after service outages, ensuring developers get fast feedback and reducing risk of regression blocking ship cycles.
Month: 2025-07. This period focused on restoring and hardening CI test targets for core XLA tooling across two Intel-influenced TensorFlow repos, enabling reliable automated checks and maintaining release velocity. Key outcomes included re-enabling failing test targets for the HLO diff tool and stabilizing CI after service outages, ensuring developers get fast feedback and reducing risk of regression blocking ship cycles.
Overview of all repositories you've contributed to across your timeline