During November 2025, Monnet contributed to the oumi-ai/oumi repository by developing a feature that enables custom master port configuration for distributed training workflows. Leveraging Python and environment configuration skills, Monnet implemented support for specifying the master port via environment variables, allowing deployments to adapt flexibly to diverse network requirements. This approach improved deployment flexibility and network compatibility without introducing instability, as no high-severity bugs were reported or fixed during the period. The work maintained a clear feature boundary and ensured maintainability within the codebase, demonstrating a solid understanding of distributed systems and practical configuration management in Python environments.