In January 2026, Alex Gelman developed a feature for the AMD-AGI/Primus repository that introduced configurable environment variable overrides for distributed training workflows. By leveraging shell scripting and containerization skills, Alex enabled user-defined environment variables to override NCCL_IB_GID_INDEX and ensured automatic propagation of RCCL_* and IONIC_* variables into container environments. This approach streamlined configuration management, reduced manual setup steps, and improved reproducibility across distributed training runs. The work focused on enhancing workflow flexibility and consistency within containerized environments, demonstrating a solid understanding of DevOps practices and scripting to address real-world challenges in distributed machine learning infrastructure.