NVIDIA/garak
Aug 2025 – Jun 2026
10 Months active
Languages Used
PythonRSTTOMLTexttextMarkdownpythonJSON
Technical Skills
Backend DevelopmentCode RefactoringConfiguration ManagementData ValidationDependency ManagementDocumentation
Patricia Pampanelli
PROFILE
Patricia Pampanelli
Worked on NVIDIA/garak, delivering advanced security probes, robust configuration management, and scalable detector architecture for large language model evaluation. Focused on backend development and Python, the work included implementing randomized Disguise and Reconstruction Attack probes, modularizing detector and probe classes, and enhancing configuration loaders to support JSON and YAML with improved error handling. Integrated machine learning metrics such as F1 scores for detector evaluation and expanded labeling for moderation pipelines. Strengthened CI/CD pipelines with bootstrap confidence intervals and configurable reporting, while improving test infrastructure through mocking and isolated fixtures. Emphasized maintainability, reproducibility, and clear documentation throughout the development process.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
99Total
Bugs
3
Commits
99
Features
30
Lines of code
6,262
Activity Months10
Your Network
1887 peopleSame Organization
@nvidia.com1821
Work History
June 2026
3 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for NVIDIA/garak: Delivered targeted testing infrastructure enhancements for atkgen and load_and_transform, enabling faster, more reliable testing and improved coverage. Implemented mocking of the red-team model in atkgen probe tests, migrated to test.Lipsum red-team for explicit multi-turn coverage, and added mocking for the paraphrase model in load_and_transform to reduce unit-test runtime. These changes improved CI feedback, decreased test runtime, and strengthened regression detection. Key commits underpinning the work are e637692e9fa45cecfbc43ce6d665dd0bde127036, eb6bd82118227f916b1bf921862d8027f6a759df, and 8772c1c71f115967f2e468aace7d976d105da0b1.
3 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for NVIDIA/garak: Delivered targeted testing infrastructure enhancements for atkgen and load_and_transform, enabling faster, more reliable testing and improved coverage. Implemented mocking of the red-team model in atkgen probe tests, migrated to test.Lipsum red-team for explicit multi-turn coverage, and added mocking for the paraphrase model in load_and_transform to reduce unit-test runtime. These changes improved CI feedback, decreased test runtime, and strengthened regression detection. Key commits underpinning the work are e637692e9fa45cecfbc43ce6d665dd0bde127036, eb6bd82118227f916b1bf921862d8027f6a759df, and 8772c1c71f115967f2e468aace7d976d105da0b1.
June 2026
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for NVIDIA/garak focused on feature delivery around plugin metadata in reports, versioned plugin cache metadata, and code organization improvements for better maintainability and reporting accuracy.
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for NVIDIA/garak focused on feature delivery around plugin metadata in reports, versioned plugin cache metadata, and code organization improvements for better maintainability and reporting accuracy.
March 2026
18 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for NVIDIA/garak: Key initiatives centered on CI configuration overhaul and improved reporting, with a strong focus on reliability, configurability, and maintainability. Delivered bootstrap CI as default, new CLI flags for bootstrap iterations, confidence levels, and minimum sample size, and a config-driven approach to bootstrap options. Refactored rebuilds into a dedicated module and introduced a standalone CI rebuild tool, plus tooling to extract/update CI reporting configurations. Implemented tests for CI aggregation and mixed-format digest scenarios, updated default docs, and removed automatic HTML report generation during CI rebuild to streamline pipelines. Addressed CI pipeline key mismatches and ensured digests are recalculated after report updates.
18 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for NVIDIA/garak: Key initiatives centered on CI configuration overhaul and improved reporting, with a strong focus on reliability, configurability, and maintainability. Delivered bootstrap CI as default, new CLI flags for bootstrap iterations, confidence levels, and minimum sample size, and a config-driven approach to bootstrap options. Refactored rebuilds into a dedicated module and introduced a standalone CI rebuild tool, plus tooling to extract/update CI reporting configurations. Implemented tests for CI aggregation and mixed-format digest scenarios, updated default docs, and removed automatic HTML report generation during CI rebuild to streamline pipelines. Addressed CI pipeline key mismatches and ensured digests are recalculated after report updates.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NVIDIA/garak focused on documenting evaluation methodology improvements for string matching detectors and enhancing measurement reproducibility. The key change clarifies how detectors are evaluated and includes a bootstrap statistics reference to support statistical rigor and bootstrap-based decision-making. This work is captured in a single, well-traced commit and strengthens documentation for future detector deployments.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NVIDIA/garak focused on documenting evaluation methodology improvements for string matching detectors and enhancing measurement reproducibility. The key change clarifies how detectors are evaluated and includes a bootstrap statistics reference to support statistical rigor and bootstrap-based decision-making. This work is captured in a single, well-traced commit and strengthens documentation for future detector deployments.
January 2026
23 Commits • 14 Features
Jan 1, 2026January 2026 performance summary for NVIDIA/garak. Focused on stabilizing configuration handling, expanding detector evaluation and labeling capabilities, and strengthening code quality and metrics integration. Delivered substantive improvements across detector labeling, evaluation metrics, and robustness of config loading, driving reliability and actionable performance insights for moderation pipelines.
23 Commits • 14 Features
Jan 1, 2026January 2026 performance summary for NVIDIA/garak. Focused on stabilizing configuration handling, expanding detector evaluation and labeling capabilities, and strengthening code quality and metrics integration. Delivered substantive improvements across detector labeling, evaluation metrics, and robustness of config loading, driving reliability and actionable performance insights for moderation pipelines.
January 2026
December 2025
6 Commits • 2 Features
Dec 1, 2025December 2025 - NVIDIA/garak: Delivered configuration loading enhancements and QA improvements to boost startup reliability and config versatility. Implemented JSON-first parsing, YAML/.yml extension support, and case-insensitive extensions with improved error handling and logging. Strengthened tests with isolated fixtures, expanding JSON/YAML coverage and reducing flaky tests.
December 2025
6 Commits • 2 Features
Dec 1, 2025December 2025 - NVIDIA/garak: Delivered configuration loading enhancements and QA improvements to boost startup reliability and config versatility. Implemented JSON-first parsing, YAML/.yml extension support, and case-insensitive extensions with improved error handling and logging. Strengthened tests with isolated fixtures, expanding JSON/YAML coverage and reducing flaky tests.
November 2025
5 Commits • 1 Features
Nov 1, 2025For NVIDIA/garak in 2025-11, delivered a robust multi-format configuration loader with JSON support, enhanced extension-less lookup for JSON configs, and comprehensive test coverage, while performing maintenance cleanup and clarifying usage rules. The changes improve configurability, reliability, and developer velocity across environments that rely on YAML and JSON for configuration.
5 Commits • 1 Features
Nov 1, 2025For NVIDIA/garak in 2025-11, delivered a robust multi-format configuration loader with JSON support, enhanced extension-less lookup for JSON configs, and comprehensive test coverage, while performing maintenance cleanup and clarifying usage rules. The changes improve configurability, reliability, and developer velocity across environments that rely on YAML and JSON for configuration.
November 2025
October 2025
10 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for NVIDIA/garak: Delivered a foundational overhaul of Garak's detector and probe architecture, enabling cleaner abstractions, stronger contracts, and centralized defaults. Implemented a detector configuration overhaul with improved cache/docs/tests, migrating to a primary/extended detector model and deprecating the old workflow. These changes reduce risk, improve maintainability, and set the stage for scalable detector integrations.
October 2025
10 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for NVIDIA/garak: Delivered a foundational overhaul of Garak's detector and probe architecture, enabling cleaner abstractions, stronger contracts, and centralized defaults. Implemented a detector configuration overhaul with improved cache/docs/tests, migrating to a primary/extended detector model and deprecating the old workflow. These changes reduce risk, improve maintainability, and set the stage for scalable detector integrations.
September 2025
17 Commits • 4 Features
Sep 1, 2025September 2025 performance highlights for NVIDIA/garak: major DRA safety probe enhancements, modernization of Garak probe workflow, and a safer data pipeline through Detoxify integration. The work emphasizes reliability, reproducibility, maintainability, and business-ready safety features.
17 Commits • 4 Features
Sep 1, 2025September 2025 performance highlights for NVIDIA/garak: major DRA safety probe enhancements, modernization of Garak probe workflow, and a safer data pipeline through Detoxify integration. The work emphasizes reliability, reproducibility, maintainability, and business-ready safety features.
September 2025
August 2025
12 Commits • 1 Features
Aug 1, 2025Month: 2025-08 | NVIDIA/garak — Key security testing advancements and maintainability improvements. Delivered the Disguise and Reconstruction Attack (DRA) probe for Garak, including DRAFull and mini variants, with randomized templates/behaviors, caching, and tagging. Expanded test coverage and documentation to accompany the new probe, and introduced tiering to support multiple risk levels. Reworked the detoxify dependency by removing hard coupling and implementing lazy import, reducing runtime overhead and enabling safer future refactors. This work enhances Garak’s ability to simulate and test adversarial instruction scenarios, improving defense posture, reducing risk in LLM interactions, and accelerating security feedback loops for stakeholders.
August 2025
12 Commits • 1 Features
Aug 1, 2025Month: 2025-08 | NVIDIA/garak — Key security testing advancements and maintainability improvements. Delivered the Disguise and Reconstruction Attack (DRA) probe for Garak, including DRAFull and mini variants, with randomized templates/behaviors, caching, and tagging. Expanded test coverage and documentation to accompany the new probe, and introduced tiering to support multiple risk levels. Reworked the detoxify dependency by removing hard coupling and implementing lazy import, reducing runtime overhead and enabling safer future refactors. This work enhances Garak’s ability to simulate and test adversarial instruction scenarios, improving defense posture, reducing risk in LLM interactions, and accelerating security feedback loops for stakeholders.
Activity
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Quality Metrics
Correctness94.8%
Maintainability92.8%
Architecture92.2%
Performance89.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
JSONMarkdownPythonRSTTOMLTextYAMLpythonreStructuredTexttext
Technical Skills
AI DevelopmentAI SafetyAI ethicsAI metricsAPI DesignAPI DevelopmentAbstract Base ClassesAbstract ClassesBackend DevelopmentCI/CDCLI DevelopmentCLI developmentCache ManagementCode FormattingCode Optimization
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