During January 2025, Berland enhanced the test execution performance of the equinor/ert repository by optimizing queue-based job completion tests. He replaced fixed sleep intervals with a callback mechanism to detect when jobs finished, reducing unnecessary CPU usage in continuous integration environments. This approach, implemented in Python and leveraging his skills in test automation and unit testing, improved the determinism and reliability of the test suite. By enabling faster feedback cycles and more cost-efficient pipelines, Berland’s work addressed both performance and maintainability. The depth of this contribution reflects a thoughtful focus on resource optimization and robust automated testing practices.