Andrew contributed to the conda-forge/staged-recipes repository by developing automation features for research experiment orchestration. He created a new recipe that enables users to plan, run, evaluate, and iterate experiments efficiently, leveraging Python and YAML configuration for flexible automation. Andrew improved package management by aligning with conda-forge’s noarch conventions and relaxing explicit Python version constraints, which enhanced compatibility across environments and reduced maintenance overhead. His work focused on stability and maintainability, removing hard-coded dependencies and streamlining CI reliability. Over the month, Andrew delivered two features that addressed both automation needs and packaging standards, demonstrating depth in Python and YAML-based workflows.