ml-research/ml-researchhub.io.git
Dec 2024 – Jun 2025
2 Months active
Languages Used
BibTeXHTMLJavaScript
Technical Skills
DocumentationFront End DevelopmentWeb Development
QueensGambit
PROFILE
Queensgambit
Curry Berry focused on enhancing data quality and bibliographic accuracy in the ml-research/ml-researchhub.io.git repository over a two-month period. Their work addressed issues in bibliographic metadata by correcting a conference paper title and refining BibTeX author name matching, which improved the reliability of paper attribution and citation integrity. Using skills in documentation, front end development, and web development, Curry worked primarily with BibTeX, HTML, and JavaScript to ensure accurate representation of academic contributions. The changes included adding a new thesis reference and validating bibliographic records, resulting in more trustworthy downstream reporting and improved completeness of author profiles within the repository.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
12
Activity Months2
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for ml-research/ml-researchhub.io.git: Focused on improving paper attribution accuracy and enriching displayed academic contributions. Implemented a targeted fix to BibTeX author name matching and added a new Max Eisel thesis reference to enhance displayed scholarly contributions, improving data quality and user trust across attribution workflows.
1 Commits
Jun 1, 2025June 2025 monthly summary for ml-research/ml-researchhub.io.git: Focused on improving paper attribution accuracy and enriching displayed academic contributions. Implemented a targeted fix to BibTeX author name matching and added a new Max Eisel thesis reference to enhance displayed scholarly contributions, improving data quality and user trust across attribution workflows.
June 2025
December 2024
1 Commits
Dec 1, 2024December 2024 monthly work summary focused on data quality improvements in the ml-researchhub.io.git repository, with a primary bug fix addressing bibliographic metadata. No new features delivered this month; effort centered on ensuring accurate citations and data integrity for research outputs and downstream reporting.
December 2024
1 Commits
Dec 1, 2024December 2024 monthly work summary focused on data quality improvements in the ml-researchhub.io.git repository, with a primary bug fix addressing bibliographic metadata. No new features delivered this month; effort centered on ensuring accurate citations and data integrity for research outputs and downstream reporting.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BibTeXHTMLJavaScript
Technical Skills
DocumentationFront End DevelopmentWeb Development
Repositories Contributed To
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