
During August 2025, Mimi Mitor overhauled BBH evaluation subset processing in the UKGovernmentBEIS/inspect_evals repository, addressing issues in dataset construction, prompt management, and solver or scorer selection to ensure correctness across all subset types. She improved code organization and expanded test coverage, enhancing maintainability and reliability for future development. In UKGovernmentBEIS/inspect_ai, she upgraded the beautifulsoup4 dependency to maintain compatibility and runtime stability without requiring code changes. Working primarily in Python and focusing on data engineering, dependency management, and testing, Mimi delivered robust solutions that reduced manual debugging and established a scalable foundation for ongoing evaluation workflow improvements.
August 2025 performance highlights across UKGovernmentBEIS/inspect_ai and UKGovernmentBEIS/inspect_evals. Delivered a major BBH evaluation subset processing overhaul to ensure correctness across all subset types, upgraded dependencies to ensure runtime stability, and strengthened testing and code organization to improve maintainability. Resulted in more reliable evaluation workflows, reduced manual debugging, and a foundation for scalable future work.
August 2025 performance highlights across UKGovernmentBEIS/inspect_ai and UKGovernmentBEIS/inspect_evals. Delivered a major BBH evaluation subset processing overhaul to ensure correctness across all subset types, upgraded dependencies to ensure runtime stability, and strengthened testing and code organization to improve maintainability. Resulted in more reliable evaluation workflows, reduced manual debugging, and a foundation for scalable future work.

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