NVIDIA/garak
Nov 2024 – Jun 2026
14 Months active
Languages Used
PythonMarkdownJSONRSTrstJinjaYAMLCSS
Technical Skills
Code RefactoringDetector ImplementationLLM SecurityProbe ConfigurationSecurity TestingVulnerability Detection
Leon Derczynski
PROFILE
Leon Derczynski
Over 14 months, contributed to NVIDIA/garak by developing and refining features that enhance language model vulnerability detection, reporting, and documentation workflows. Delivered robust detectors and probes for ANSI escape and leetspeak exploitation, migrated integrations to modern frameworks, and improved configuration, error handling, and test coverage. Leveraged Python, YAML, and CSS to implement backend logic, automate testing, and standardize documentation, while aligning reporting terminology and UI for clarity. Focused on maintainability through code refactoring, dependency management, and CI/CD governance. Enhanced onboarding and contribution processes, ensuring the repository remains accessible, reliable, and aligned with evolving AI and security standards.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
125Total
Bugs
17
Commits
125
Features
43
Lines of code
107,150
Activity Months14
Your Network
1812 peopleSame Organization
@nvidia.com1746
Shared Repositories
66
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Work History
June 2026
5 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for NVIDIA/garak. Focused on establishing governance and clarity for Garak System Probe development and improving project-wide contribution and outreach practices. Delivered the development criteria for new probes, enhanced documentation and guidelines, and tightened PR quality processes to reduce low-value contributions. No explicit major bugs fixed documented this month; work centered on feature-oriented documentation and process improvements to enable faster, higher-quality future work, onboarding new contributors, and aligning with business value.
5 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for NVIDIA/garak. Focused on establishing governance and clarity for Garak System Probe development and improving project-wide contribution and outreach practices. Delivered the development criteria for new probes, enhanced documentation and guidelines, and tightened PR quality processes to reduce low-value contributions. No explicit major bugs fixed documented this month; work centered on feature-oriented documentation and process improvements to enable faster, higher-quality future work, onboarding new contributors, and aligning with business value.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026: Delivered Documentation Accessibility Enhancement for NVIDIA/garak by updating documentation URIs from abstract to HTML, increasing accessibility and data richness at first-hop. No major bugs fixed this month. Impact: faster onboarding, improved information discovery, and cleaner documentation; governance strengthened via clear commit traceability. Technologies: HTML documentation, URI normalization, commit hygiene, sign-off practices.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026: Delivered Documentation Accessibility Enhancement for NVIDIA/garak by updating documentation URIs from abstract to HTML, increasing accessibility and data richness at first-hop. No major bugs fixed this month. Impact: faster onboarding, improved information discovery, and cleaner documentation; governance strengthened via clear commit traceability. Technologies: HTML documentation, URI normalization, commit hygiene, sign-off practices.
April 2026
42 Commits • 14 Features
Apr 1, 2026April 2026: Delivered major architectural cleanup, documentation alignment, and feature/bug work across NVIDIA/garak. Improvements reduced maintenance overhead, increased release confidence through stricter CI checks, and strengthened content generation and detection capabilities, enabling faster iterations and more reliable outputs.
42 Commits • 14 Features
Apr 1, 2026April 2026: Delivered major architectural cleanup, documentation alignment, and feature/bug work across NVIDIA/garak. Improvements reduced maintenance overhead, increased release confidence through stricter CI checks, and strengthened content generation and detection capabilities, enabling faster iterations and more reliable outputs.
April 2026
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for NVIDIA/garak focusing on documentation and structure improvements to support probe development workflows and onboarding. Improvements align with naming conventions, include structured subdirectories, and ensure doc accessibility and integrity through test-aligned changes.
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for NVIDIA/garak focusing on documentation and structure improvements to support probe development workflows and onboarding. Improvements align with naming conventions, include structured subdirectories, and ensure doc accessibility and integrity through test-aligned changes.
November 2025
5 Commits • 3 Features
Nov 1, 2025Month 2025-11 Monthly Summary for NVIDIA/garak focusing on business value and technical achievement: Key features delivered include documentation standardization with a shift from Markdown to reStructuredText to improve compatibility and readability across tooling and pipelines; platform compatibility enforcement for scripts to prevent execution on non-GNU Linux environments, reducing runtime failures on unsupported deployments; migration away from NVIDIA Optimum integration to Hugging Face pipelines, removing the Optimum dependency and ensuring continued alignment with popular community standards; and enhanced dependency management for API key probes and detectors by introducing an extra_dependency_names field to improve dependency resolution and maintenance.
5 Commits • 3 Features
Nov 1, 2025Month 2025-11 Monthly Summary for NVIDIA/garak focusing on business value and technical achievement: Key features delivered include documentation standardization with a shift from Markdown to reStructuredText to improve compatibility and readability across tooling and pipelines; platform compatibility enforcement for scripts to prevent execution on non-GNU Linux environments, reducing runtime failures on unsupported deployments; migration away from NVIDIA Optimum integration to Hugging Face pipelines, removing the Optimum dependency and ensuring continued alignment with popular community standards; and enhanced dependency management for API key probes and detectors by introducing an extra_dependency_names field to improve dependency resolution and maintenance.
November 2025
September 2025
9 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for NVIDIA/garak focused on security-oriented tokenizer enhancements and documentation/ui improvements. Implemented a Hugging Face tokenizer ANSI escape detector and integrated an HF tokenizer probe with a standardized access point and a dedicated ANSI data module. Refactored to avoid tokenizer double-loading and updated tests to reflect new data layout. Concurrently delivered comprehensive documentation improvements and a refreshed UI/theme to improve developer experience and onboarding.
September 2025
9 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for NVIDIA/garak focused on security-oriented tokenizer enhancements and documentation/ui improvements. Implemented a Hugging Face tokenizer ANSI escape detector and integrated an HF tokenizer probe with a standardized access point and a dedicated ANSI data module. Refactored to avoid tokenizer double-loading and updated tests to reflect new data layout. Concurrently delivered comprehensive documentation improvements and a refreshed UI/theme to improve developer experience and onboarding.
August 2025
2 Commits • 1 Features
Aug 1, 20252025-08 monthly summary focused on standardizing Garak's reporting terminology to improve clarity and consistency across evaluator outputs and analysis comments. Implemented naming changes to align metrics with business language and downstream analytics. No major defects reported this month; effort centered on feature refinement and code hygiene to enable reliable reporting and easier onboarding.
2 Commits • 1 Features
Aug 1, 20252025-08 monthly summary focused on standardizing Garak's reporting terminology to improve clarity and consistency across evaluator outputs and analysis comments. Implemented naming changes to align metrics with business language and downstream analytics. No major defects reported this month; effort centered on feature refinement and code hygiene to enable reliable reporting and easier onboarding.
August 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 — NVIDIA/garak: Focused on strengthening test coverage for prompt/template processing and correcting docs formatting. Key features delivered: Template and prompt processing tests in probes.doctor to enforce template integrity and clean final prompts, with improved test output visibility. Major bugs fixed: Documentation formatting fix in docs to correct a missing equals sign and ensure consistent rendering. Overall impact: Increased reliability of prompt templates, faster debugging through clearer test outputs, and improved documentation quality, contributing to lower support overhead and smoother integration for downstream users. Technologies/skills demonstrated: test-driven development, test automation, Python-based test suites, and documentation hygiene.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 — NVIDIA/garak: Focused on strengthening test coverage for prompt/template processing and correcting docs formatting. Key features delivered: Template and prompt processing tests in probes.doctor to enforce template integrity and clean final prompts, with improved test output visibility. Major bugs fixed: Documentation formatting fix in docs to correct a missing equals sign and ensure consistent rendering. Overall impact: Increased reliability of prompt templates, faster debugging through clearer test outputs, and improved documentation quality, contributing to lower support overhead and smoother integration for downstream users. Technologies/skills demonstrated: test-driven development, test automation, Python-based test suites, and documentation hygiene.
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 (NVIDIA/garak): Enhanced Garak reporting flexibility and analysis reliability. Key features delivered include a configurable option to show/hide group scores in Garak HTML reports, with decoupled calculation from display and standardized terminology for group-level items. This was implemented through commits: c9ac997ad418f89199ddd55301b9a643598f259b (add option for no group score); 11b13dae049451dd280837838274ac0c8cd98a16 (decouple group score calc from group score display); and b4a12cb6eeb41aafef2a67cce278c69129547d36 (fix formatting, rename module->group for group-level items). Major bug fix included relaxing the failure detection threshold in Garak analysis to 0.041 to tolerate a single failure in the lowest prompt count bag probe without triggering TERRIBLE, via commit e099291dad9c09fd341e9afe2b2ecca8aed8fada (bump min s.d.).
4 Commits • 1 Features
May 1, 2025May 2025 (NVIDIA/garak): Enhanced Garak reporting flexibility and analysis reliability. Key features delivered include a configurable option to show/hide group scores in Garak HTML reports, with decoupled calculation from display and standardized terminology for group-level items. This was implemented through commits: c9ac997ad418f89199ddd55301b9a643598f259b (add option for no group score); 11b13dae049451dd280837838274ac0c8cd98a16 (decouple group score calc from group score display); and b4a12cb6eeb41aafef2a67cce278c69129547d36 (fix formatting, rename module->group for group-level items). Major bug fix included relaxing the failure detection threshold in Garak analysis to 0.041 to tolerate a single failure in the lowest prompt count bag probe without triggering TERRIBLE, via commit e099291dad9c09fd341e9afe2b2ecca8aed8fada (bump min s.d.).
May 2025
April 2025
17 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for NVIDIA/garak: Delivered stronger detection capabilities, expanded exploit detection coverage, and cleaned up terminology and configuration for long-term maintainability. Demonstrated rigorous testing, clearerDocumentation, and proactive risk mitigation.
April 2025
17 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for NVIDIA/garak: Delivered stronger detection capabilities, expanded exploit detection coverage, and cleaned up terminology and configuration for long-term maintainability. Demonstrated rigorous testing, clearerDocumentation, and proactive risk mitigation.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 highlights for NVIDIA/garak: Delivered robustness and accuracy enhancements across configuration handling and encoding detection, while strengthening guardrails around resource usage. Key improvements include enforcement of max worker limits with full configuration validation and improved user guidance; guards for missing triggers and language tag standardization to broaden encoding detection applicability; and an internal n-gram matching refactor to ensure reliable detection by deriving n from local scope. These changes reduce misconfig-driven failures, improve reliability under load, and enhance developer and user experience. Technical skills demonstrated include testing, refactoring for local scope, defensive programming, and clear error messaging.
5 Commits • 2 Features
Mar 1, 2025March 2025 highlights for NVIDIA/garak: Delivered robustness and accuracy enhancements across configuration handling and encoding detection, while strengthening guardrails around resource usage. Key improvements include enforcement of max worker limits with full configuration validation and improved user guidance; guards for missing triggers and language tag standardization to broaden encoding detection applicability; and an internal n-gram matching refactor to ensure reliable detection by deriving n from local scope. These changes reduce misconfig-driven failures, improve reliability under load, and enhance developer and user experience. Technical skills demonstrated include testing, refactoring for local scope, defensive programming, and clear error messaging.
March 2025
February 2025
25 Commits • 9 Features
Feb 1, 2025February 2025 NVIDIA/garak monthly summary: Turn-based migration across core components and OpenAI-related modules with added typechecking; cross-framework modernization migrating Litellm, Llava, LangChain, and Cohere; JSON test data validity fixes and expanded reliability tests (probes, visual jailbreak, vision tests); nim.Vision migration with image loading tests and Ollama integration migrated to Turn; improved error handling and OpenAI integration refinements (not-found errors, message scope, litellm exception patterns). These changes reduce maintenance burden, enable safer extensibility, improve test stability, and accelerate feature delivery for AI-enabled workflows.
February 2025
25 Commits • 9 Features
Feb 1, 2025February 2025 NVIDIA/garak monthly summary: Turn-based migration across core components and OpenAI-related modules with added typechecking; cross-framework modernization migrating Litellm, Llava, LangChain, and Cohere; JSON test data validity fixes and expanded reliability tests (probes, visual jailbreak, vision tests); nim.Vision migration with image loading tests and Ollama integration migrated to Turn; improved error handling and OpenAI integration refinements (not-found errors, message scope, litellm exception patterns). These changes reduce maintenance burden, enable safer extensibility, improve test stability, and accelerate feature delivery for AI-enabled workflows.
December 2024
2 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for NVIDIA/garak focusing on telemetry accuracy, documentation clarity, and alignment with external service endpoints. Key features delivered include updating Pepy download badges to reflect static.pepy.tech endpoints for total and monthly downloads, and refining the Garak README to clearly compare its probing capabilities to Nmap and Metasploit Framework, aligning expectations for users and stakeholders. These changes were implemented via commits 76b56fb5baf698ab2c61c0b4c6950662a1bfd9eb and 2ae18ae34723b297c2f798d2eb22fd33d112987e, respectively. Overall impact: improved accuracy of download metrics displayed in badges, reduced ambiguity in Garak's capabilities, and clearer communication for onboarding and external contributors. Technologies/skills demonstrated: documentation/readme craftsmanship, product messaging alignment, and integration awareness with external services (static.pepy.tech endpoints).
2 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for NVIDIA/garak focusing on telemetry accuracy, documentation clarity, and alignment with external service endpoints. Key features delivered include updating Pepy download badges to reflect static.pepy.tech endpoints for total and monthly downloads, and refining the Garak README to clearly compare its probing capabilities to Nmap and Metasploit Framework, aligning expectations for users and stakeholders. These changes were implemented via commits 76b56fb5baf698ab2c61c0b4c6950662a1bfd9eb and 2ae18ae34723b297c2f798d2eb22fd33d112987e, respectively. Overall impact: improved accuracy of download metrics displayed in badges, reduced ambiguity in Garak's capabilities, and clearer communication for onboarding and external contributors. Technologies/skills demonstrated: documentation/readme craftsmanship, product messaging alignment, and integration awareness with external services (static.pepy.tech endpoints).
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a focused feature set for NVIDIA/garak to strengthen vulnerability detection using language models by adding ANSI escape sequence detection and probing capabilities. Implemented detectors to identify ANSI sequences (AnsiEscapeEscaped, AnsiEscapeRaw) and a probe (AnsiEscaped) to elicit such sequences from models for vulnerability assessment. Refined the feature by renaming detector classes for consistency, updating the recommended detector reference in the probe, and aligning prompts attributes for reliability.
November 2024
2 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a focused feature set for NVIDIA/garak to strengthen vulnerability detection using language models by adding ANSI escape sequence detection and probing capabilities. Implemented detectors to identify ANSI sequences (AnsiEscapeEscaped, AnsiEscapeRaw) and a probe (AnsiEscaped) to elicit such sequences from models for vulnerability assessment. Refined the feature by renaming detector classes for consistency, updating the recommended detector reference in the probe, and aligning prompts attributes for reliability.
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Quality Metrics
Correctness95.2%
Maintainability94.8%
Architecture91.8%
Performance91.0%
AI Usage22.4%
Skills & Technologies
Programming Languages
CSSJSONJinjaMakefileMarkdownPythonRSTShellYAMLbash
Technical Skills
AI DevelopmentAPI DevelopmentAPI IntegrationAPI integrationAlgorithm DesignBackend DevelopmentBuild AutomationCI/CDCLI DevelopmentCSSCode AnalysisCode OrganizationCode ReadabilityCode RefactoringCommand Line Interface (CLI)
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