During May 2025, this developer contributed to the Intel-tensorflow/xla repository by implementing support for int2 and uint2 data types in TensorFlow, targeting enhanced interoperability with JAX and XLA. The work involved updating C++ type trait definitions and extending Python bindings to expose these low-bitwidth types throughout the TensorFlow stack. By enabling int2 and uint2, the changes reduced fragmentation between TensorFlow and JAX/XLA, allowing users to deploy low-precision models more efficiently. The engineering effort focused on data type integration and cross-library compatibility, leveraging skills in C++, Python, and TensorFlow to broaden the framework’s applicability in low-precision workflows.