Chenguang Wang migrated the GraphOptByNamePass in the tensorflow/tensorflow repository to use MLIR’s ListOption, enhancing the flexibility and reliability of graph optimization pass management. By integrating with MLIR’s options framework, Chenguang enabled more configurable and robust testing of optimization passes, laying the groundwork for easier experimentation and improved pipeline reliability. The work was implemented in C++ and leveraged both MLIR and TensorFlow, demonstrating a strong grasp of graph optimization and modern compiler infrastructure. Although the contribution focused on a single feature, it addressed core pass management challenges and improved the project’s capacity for future optimization and testing workflows.