NVIDIA/garak
Mar 2025 – Jan 2026
2 Months active
Languages Used
Python
Technical Skills
API IntegrationCode AnalysisData EngineeringLLM SecurityRegular ExpressionsScripting
Arjun Krishna
PROFILE
Arjun Krishna
Contributed to NVIDIA/garak by developing a cross-language Package Hallucination Data Toolkit, delivering dataset generation scripts in Python, JavaScript, and Ruby to support synthetic data testing and research. Enhanced the package hallucination detector with refined regular expressions, updated validation datasets, and a cutoff-date filter to improve detection accuracy across npm, PyPI, and RubyGems. Additionally, addressed backend stability by implementing a deduplication fix for configuration loading, ensuring each configuration file is processed only once and eliminating duplicate entries in reports. The work combined API integration, code analysis, and backend development to strengthen security and streamline data processing workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
335
Activity Months2
Your Network
66 peopleWork History
January 2026
2 Commits
Jan 1, 2026January 2026 performance summary for NVIDIA/garak. Focused on stabilizing configuration loading to improve report accuracy and processing efficiency. Implemented a deduplication fix for core configuration loading by resetting the config_files list at the start of load_config() and ensuring each configuration file is processed only once, preventing duplicates in reports and reducing unnecessary work in the processing pipeline.
2 Commits
Jan 1, 2026January 2026 performance summary for NVIDIA/garak. Focused on stabilizing configuration loading to improve report accuracy and processing efficiency. Implemented a deduplication fix for core configuration loading by resetting the config_files list at the start of load_config() and ensuring each configuration file is processed only once, preventing duplicates in reports and reducing unnecessary work in the processing pipeline.
January 2026
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for NVIDIA/garak: Delivered the Package Hallucination Data Toolkit—dataset generation scripts across JavaScript, Python, and Ruby, plus detector enhancements. The work enables synthetic data testing and research, improves cross-language first-appearance detection, and strengthens end-to-end evaluation from data generation to detection, delivering measurable business value in security and import integrity verification.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for NVIDIA/garak: Delivered the Package Hallucination Data Toolkit—dataset generation scripts across JavaScript, Python, and Ruby, plus detector enhancements. The work enables synthetic data testing and research, improves cross-language first-appearance detection, and strengthens end-to-end evaluation from data generation to detection, delivering measurable business value in security and import integrity verification.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationCode AnalysisData EngineeringLLM SecurityPythonRegular ExpressionsScriptingbackend development
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