
Worked on the UKGovernmentBEIS/inspect_ai and UKGovernmentBEIS/inspect_evals repositories, delivering a comprehensive overhaul of BBH evaluation subset processing to ensure correctness across all benchmark subsets. Applied data engineering and refactoring skills to address issues in dataset construction, prompt management, and solver or scorer selection, resulting in more reliable and maintainable evaluation workflows. Upgraded the beautifulsoup4 dependency to maintain compatibility and runtime stability without requiring code changes. Strengthened testing coverage and code organization using Python, which reduced manual debugging and established a foundation for scalable future enhancements. The work improved workflow stability and accelerated future feature development across both repositories.
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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