Worked on the PrimeIntellect-ai/prime-rl repository to deliver integration of evaluation results with the Prime Environment Hub, enabling centralized storage and analysis of benchmarking data. Developed a configuration option to push evaluation outcomes directly to the hub, updated project dependencies to support this integration, and implemented secure API key handling within CI/CD workflows. The work focused on improving evaluation visibility, traceability, and decision-making speed while maintaining security and maintainability of the pipeline. Utilized Python and YAML for implementation, applying skills in API integration, DevOps, and full stack development to enhance the evaluation process without introducing new bug fixes during the period.