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pjohnson-groq

PROFILE

Pjohnson-groq

During a two-month period, Paul Johnson developed and refined CTI-Bench, a comprehensive cybersecurity benchmark suite for the groq/openbench repository. He designed Python-based data pipelines and modular evaluation tasks, enabling end-to-end CTI evaluation across multiple cybersecurity domains such as MCQ assessment, CVE to CWE mapping, CVSS score prediction, and ATT&CK technique extraction. Paul updated documentation and configuration files using Markdown to ensure clarity and reproducibility. In the following month, he streamlined the benchmarking process by removing the combined CTI-Bench evaluation, reducing maintenance overhead while maintaining backward compatibility. His work demonstrated depth in backend development, code refactoring, and configuration management.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
898
Activity Months2

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 focused on simplifying the CTI benchmarking surface in groq/openbench by removing the combined CTI-Bench evaluation, updating docs and configuration, and preserving access to individual CTI-Bench components. The change reduces maintenance overhead, clarifies onboarding, and maintains backward compatibility for existing benchmarks.

August 2025

1 Commits • 1 Features

Aug 1, 2025

August 2025 monthly summary for groq/openbench: Delivered CTI-Bench, a comprehensive cybersecurity benchmark suite, expanding the platform's benchmarking capabilities to cover four evaluation tasks: MCQs, CVE→CWE mapping, CVSS score prediction, and ATT&CK technique extraction. Added modules for dataset loading, evaluation tasks, and scoring mechanisms; updated README and configuration to reflect CTI-Bench usage. No major bugs fixed this period; minor polish and documentation improvements completed. Overall, the work enhances OpenBench's business value by enabling end-to-end CTI evaluation and cross-project comparability, while demonstrating strong proficiency in Python-based data pipelines, benchmarking design, and clear documentation.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

Backend DevelopmentCode RefactoringConfiguration ManagementCybersecurityData ScienceDocumentationMachine Learning

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

groq/openbench

Aug 2025 Sep 2025
2 Months active

Languages Used

PythonMarkdown

Technical Skills

Backend DevelopmentCybersecurityData ScienceMachine LearningCode RefactoringConfiguration Management

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