Joel Wee developed module conversion passes for the tensorflow/tensorflow repository, focusing on transforming Shardy:MPMD modules into IFRT modules to enhance interoperability and performance of tensor operations across mesh configurations. He approached this by implementing new utility functions and conversion patterns in C++ and Python, leveraging MLIR and TensorFlow to support robust module transformations. Joel also created and validated a comprehensive test suite to ensure correctness and maintainability of the conversion process. His work established a technical foundation for future cross-IR compatibility and optimization, demonstrating depth in both design and implementation within a complex, performance-critical codebase.