Azure/PyRIT
Mar 2025 – Sep 2025
7 Months active
Languages Used
DockerfileMarkdownPythonShellYAMLJinja
Technical Skills
CI/CDConfiguration ManagementContainerizationCross-platform DevelopmentDevOpsDocumentation
Bashir Partovi
PROFILE
Bashir Partovi
Bashir Partovi developed and refined security testing and attack simulation frameworks for the Azure/PyRIT repository over seven months, focusing on modular architecture and developer experience. He implemented attack strategy interfaces, batch scoring systems, and markdown-based result printers, enabling scalable, readable, and reproducible adversarial testing. Using Python, Docker, and YAML, Bashir modernized API surfaces, improved CI/CD reliability, and introduced containerized development environments to streamline onboarding and cross-platform support. His work emphasized code quality through refactoring, coding guidelines, and robust error handling, resulting in maintainable, testable systems that support both automated pipelines and interactive analysis in Jupyter Notebooks.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
38Total
Bugs
6
Commits
38
Features
19
Lines of code
46,389
Activity Months7
Your Network
32 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Implemented and shipped the Markdown Attack Result Printer for Jupyter Notebooks in Azure/PyRIT, enabling markdown-formatted display of attack results with improved readability for code blocks, tables, and structured content. This feature included updates to existing printers and documentation to reflect the new markdown formatting capabilities. Delivered via a focused feature commit: FEAT Attack Result Markdown Printer (#1081) (hash 5435368f2e68c7de0b64f10aca750df215a532b5). This supports notebook-based analysis workflows and enhances analyst productivity.
1 Commits • 1 Features
Sep 1, 2025September 2025: Implemented and shipped the Markdown Attack Result Printer for Jupyter Notebooks in Azure/PyRIT, enabling markdown-formatted display of attack results with improved readability for code blocks, tables, and structured content. This feature included updates to existing printers and documentation to reflect the new markdown formatting capabilities. Delivered via a focused feature commit: FEAT Attack Result Markdown Printer (#1081) (hash 5435368f2e68c7de0b64f10aca750df215a532b5). This supports notebook-based analysis workflows and enhances analyst productivity.
September 2025
August 2025
6 Commits • 5 Features
Aug 1, 2025Month: 2025-08 — Azure/PyRIT Key features delivered: - Batch Scoring System for Prompts: Introduced BatchScorer to enable batch processing of prompts for scoring, with methods for scoring by prompt ID and by filters to streamline the scoring workflow. - Attack Infrastructure Enhancements: Added batch execution capabilities for single-turn and multi-turn attacks in AttackExecutor; consolidated and reorganized attack modules under pyrit.executor.attack namespace for unified access. - XPIA Orchestrator Refactor: Refactors the XPIA orchestrator into a robust workflow structure with new classes for context, results, and strategies; includes test and manual processing variants to improve modularity. - Question Answering Benchmark Strategy: Introduces a new QA Benchmark strategy and refactors the QA benchmark orchestrator to a modular strategy pattern; adds new benchmark logic files and tests. - Coding Guidelines and Testing Standards: Introduces coding style and unit testing guidelines for PyRIT development, tailored for Copilot workflows to improve code quality and testing practices. Major bugs fixed: - No high-severity bug fixes recorded this month; focus on architectural enhancements and quality improvements. Overall impact and accomplishments: - These changes enable scalable batch scoring, consistent attack workflows, modular benchmarking, and stronger development standards, enabling faster delivery, easier maintenance, and more reliable evaluations. Technologies/skills demonstrated: - Python, modular/strategic design patterns (Strategy, Workflow), refactoring, testability, Copilot-guided development, and code-quality initiatives.
August 2025
6 Commits • 5 Features
Aug 1, 2025Month: 2025-08 — Azure/PyRIT Key features delivered: - Batch Scoring System for Prompts: Introduced BatchScorer to enable batch processing of prompts for scoring, with methods for scoring by prompt ID and by filters to streamline the scoring workflow. - Attack Infrastructure Enhancements: Added batch execution capabilities for single-turn and multi-turn attacks in AttackExecutor; consolidated and reorganized attack modules under pyrit.executor.attack namespace for unified access. - XPIA Orchestrator Refactor: Refactors the XPIA orchestrator into a robust workflow structure with new classes for context, results, and strategies; includes test and manual processing variants to improve modularity. - Question Answering Benchmark Strategy: Introduces a new QA Benchmark strategy and refactors the QA benchmark orchestrator to a modular strategy pattern; adds new benchmark logic files and tests. - Coding Guidelines and Testing Standards: Introduces coding style and unit testing guidelines for PyRIT development, tailored for Copilot workflows to improve code quality and testing practices. Major bugs fixed: - No high-severity bug fixes recorded this month; focus on architectural enhancements and quality improvements. Overall impact and accomplishments: - These changes enable scalable batch scoring, consistent attack workflows, modular benchmarking, and stronger development standards, enabling faster delivery, easier maintenance, and more reliable evaluations. Technologies/skills demonstrated: - Python, modular/strategic design patterns (Strategy, Workflow), refactoring, testability, Copilot-guided development, and code-quality initiatives.
July 2025
9 Commits • 8 Features
Jul 1, 2025July 2025 (Azure/PyRIT): Delivered a suite of architectural refinements and feature enhancements to advance attack-path exploration, robustness, and developer experience. Key initiatives included refactoring TreeOfAttacks into a TAP-enabled AttackStrategy framework with added context, results, and unit tests; hardening Red Teaming Orchestrator by deep copying prepended conversations to prevent unintended mutations; robust prompt handling for RedTeamingAttack to consistently apply a provided custom prompt and clear after use; introducing FuzzerAttack with Monte Carlo Tree Search for jailbreak prompt exploration and migrating FuzzerOrchestrator to the new class; adding SkeletonKeyAttack as a dedicated jailbreak technique with updated initialization and tests; launching AttackResultPrinter (and ConsoleAttackResultPrinter) for formatted, color-coded attack output and initializing ConversationState.turn_count to 0 for accurate state tracking; Dev Container improvements (Conda setup and Copilot cleanup) to streamline onboarding and reduce conflicts; refactoring Anecdoctor into AnecdoctorAttack and context classes; and ConversationManager improvements to properly apply request/response converters and clarify system message handling. These changes deliver tangible business value by improving attack simulation fidelity, reducing data mutation risks, enabling more flexible prompt workflows, and providing clearer, actionable output for operators and developers.
9 Commits • 8 Features
Jul 1, 2025July 2025 (Azure/PyRIT): Delivered a suite of architectural refinements and feature enhancements to advance attack-path exploration, robustness, and developer experience. Key initiatives included refactoring TreeOfAttacks into a TAP-enabled AttackStrategy framework with added context, results, and unit tests; hardening Red Teaming Orchestrator by deep copying prepended conversations to prevent unintended mutations; robust prompt handling for RedTeamingAttack to consistently apply a provided custom prompt and clear after use; introducing FuzzerAttack with Monte Carlo Tree Search for jailbreak prompt exploration and migrating FuzzerOrchestrator to the new class; adding SkeletonKeyAttack as a dedicated jailbreak technique with updated initialization and tests; launching AttackResultPrinter (and ConsoleAttackResultPrinter) for formatted, color-coded attack output and initializing ConversationState.turn_count to 0 for accurate state tracking; Dev Container improvements (Conda setup and Copilot cleanup) to streamline onboarding and reduce conflicts; refactoring Anecdoctor into AnecdoctorAttack and context classes; and ConversationManager improvements to properly apply request/response converters and clarify system message handling. These changes deliver tangible business value by improving attack simulation fidelity, reducing data mutation risks, enabling more flexible prompt workflows, and providing clearer, actionable output for operators and developers.
July 2025
June 2025
7 Commits • 1 Features
Jun 1, 2025June 2025 highlights for Azure/PyRIT: Delivered a major overhaul of the Attacks framework, established a generalized architecture for orchestrating attack strategies, and modernized the API surface. Implemented concurrent objective handling within RedTeamingAttack to improve reliability, and enhanced cross-OS development and CI tooling to accelerate delivery and reduce flaky builds. The work emphasizes business value through scalable security testing, stable deployments, and faster feature delivery.
June 2025
7 Commits • 1 Features
Jun 1, 2025June 2025 highlights for Azure/PyRIT: Delivered a major overhaul of the Attacks framework, established a generalized architecture for orchestrating attack strategies, and modernized the API surface. Implemented concurrent objective handling within RedTeamingAttack to improve reliability, and enhanced cross-OS development and CI tooling to accelerate delivery and reduce flaky builds. The work emphasizes business value through scalable security testing, stable deployments, and faster feature delivery.
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 performance summary for Azure/PyRIT: Delivered streamlined translation output, reinforced real-time transcription reliability, and prepared the development environment for TTS capabilities. These changes improve user experience, reliability, and speed of feature delivery.
3 Commits • 2 Features
May 1, 2025May 2025 performance summary for Azure/PyRIT: Delivered streamlined translation output, reinforced real-time transcription reliability, and prepared the development environment for TTS capabilities. These changes improve user experience, reliability, and speed of feature delivery.
May 2025
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Azure/PyRIT: Devcontainer optimization and Windows CI reliability improvements delivered faster developer onboarding and more reliable development and CI pipelines. The changes reduce container startup time, improve environment consistency, and streamline Windows builds, supporting scalable collaboration across the team.
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Azure/PyRIT: Devcontainer optimization and Windows CI reliability improvements delivered faster developer onboarding and more reliable development and CI pipelines. The changes reduce container startup time, improve environment consistency, and streamline Windows builds, supporting scalable collaboration across the team.
March 2025
6 Commits • 1 Features
Mar 1, 2025March 2025 highlights: Delivered developer environment and onboarding enhancements for Azure/PyRIT, resolved container permission issues, and implemented build/test caching and CI optimizations to speed development. These changes standardize the dev workflow, improve cross-platform support (including TOML and Docker), and unblock contributors, delivering faster iterations and clearer onboarding.
6 Commits • 1 Features
Mar 1, 2025March 2025 highlights: Delivered developer environment and onboarding enhancements for Azure/PyRIT, resolved container permission issues, and implemented build/test caching and CI optimizations to speed development. These changes standardize the dev workflow, improve cross-platform support (including TOML and Docker), and unblock contributors, delivering faster iterations and clearer onboarding.
March 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.6%
Architecture89.6%
Performance82.6%
AI Usage22.6%
Skills & Technologies
Programming Languages
DockerfileJinjaMarkdownPythonShellYAML
Technical Skills
AI-Assisted DevelopmentAPI DesignAPI IntegrationAdversarial AIAdversarial AttacksAsynchronous ProgrammingAttack Framework DesignAttack FrameworksAttack Strategy ImplementationBackend DevelopmentCI/CDCachingCloud ServicesCode MaintenanceCode Organization
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