UKGovernmentBEIS/inspect_evals
Nov 2025 – Feb 2026
4 Months active
Languages Used
MarkdownPython
Technical Skills
AI evaluationPythonPython programmingbenchmarkingdata analysisdata visualization
darkness8i8
PROFILE
Darkness8i8
Jasmine Brazilek contributed to the UKGovernmentBEIS/inspect_evals repository over four months, focusing on enhancing AI evaluation workflows and benchmarking tools. She developed new evaluation metrics, refactored scoring logic to a dictionary-based format, and improved data visualization with radar and ceiling plots using Python and Markdown. Jasmine streamlined dataset loading APIs and reduced evaluation epochs, accelerating benchmarking cycles and simplifying developer onboarding. Her work included refining grader outputs for clarity and updating documentation to support maintainability. By integrating machine learning techniques and robust data processing, Jasmine delivered features that improved evaluation reliability, interpretability, and decision support for research and stakeholder teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
6
Lines of code
391
Activity Months4
Your Network
101 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for UKGovernmentBEIS/inspect_evals: Delivered targeted improvements to the AHB grader by limiting responses to 300 words and refining translation instructions to focus only on relevant non-English content. This resulted in clearer grader output and reduced translation noise, enhancing evaluation quality and decision support for stakeholders. Work included updates to evaluation config and documentation to reflect the changes, with changelog entries to communicate impact to teams and customers.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for UKGovernmentBEIS/inspect_evals: Delivered targeted improvements to the AHB grader by limiting responses to 300 words and refining translation instructions to focus only on relevant non-English content. This resulted in clearer grader output and reduced translation noise, enhancing evaluation quality and decision support for stakeholders. Work included updates to evaluation config and documentation to reflect the changes, with changelog entries to communicate impact to teams and customers.
February 2026
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for UKGovernmentBEIS/inspect_evals focused on delivering feature enhancements that accelerate benchmarking and simplifying data-loading APIs, with no major bugs recorded this period. Highlights below emphasize business value, technical achievements, and skills demonstrated.
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for UKGovernmentBEIS/inspect_evals focused on delivering feature enhancements that accelerate benchmarking and simplifying data-loading APIs, with no major bugs recorded this period. Highlights below emphasize business value, technical achievements, and skills demonstrated.
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly work summary for 2025-12 focused on delivering documentation and a visualization for AHB ceiling tests in UKGovernmentBEIS/inspect_evals. No major bugs fixed this month.
1 Commits • 1 Features
Dec 1, 2025Monthly work summary for 2025-12 focused on delivering documentation and a visualization for AHB ceiling tests in UKGovernmentBEIS/inspect_evals. No major bugs fixed this month.
December 2025
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025 (UKGovernmentBEIS/inspect_evals): Delivered enhancements to AHB evaluation metrics and scoring, updated documentation, and improved visualization/metrics extraction. Focused on GPT-4.1 integration for metrics and radar plots, plus a dictionary-based scoring model with clearer per-dimension and overall scores. Documentation and repo hygiene updates improved maintainability and onboarding. Resulting in more reliable performance signals, faster actionable insights, and clearer contributor traceability.
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025 (UKGovernmentBEIS/inspect_evals): Delivered enhancements to AHB evaluation metrics and scoring, updated documentation, and improved visualization/metrics extraction. Focused on GPT-4.1 integration for metrics and radar plots, plus a dictionary-based scoring model with clearer per-dimension and overall scores. Documentation and repo hygiene updates improved maintainability and onboarding. Resulting in more reliable performance signals, faster actionable insights, and clearer contributor traceability.
Activity
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Quality Metrics
Correctness92.6%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage47.6%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AI evaluationAPI integrationPythonPython programmingback end developmentbenchmarkingdata analysisdata evaluationdata processingdata visualizationdocumentationmachine learningresearch methodology
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