Worked on enhancing the developer experience for ROCm TensorFlow on Linux by introducing an interactive shell capability within the Docker environment. This feature, merged into the ROCm/rocm-install-on-linux repository, allowed developers to launch a /bin/bash shell directly from the TensorFlow Docker run command, streamlining debugging and environment interaction without leaving the container. The approach leveraged Docker and Linux skills, focusing on improving the workflow for testing and development. By enabling direct access to the TensorFlow environment, the change reduced friction and debugging time, providing a more efficient process for developers working with ROCm and TensorFlow in containerized setups.