
Worked on the Azure/PyRIT repository, delivering two features and resolving a bug over two months. Developed a PlagiarismScorer that detects copyright violations in LLM outputs by comparing them to reference texts using LCS, Levenshtein, and Jaccard metrics, and provided a demo Jupyter Notebook to showcase its use with the FirstLetterConverter for probing LLM memorization. Improved OpenAI API integration by tuning default parameters and aligning with updated API conventions, while enhancing error handling to classify invalid prompt errors for better resilience. Utilized Python, Jupyter Notebooks, and data analysis techniques to strengthen LLM security and model governance within the project.
Concise monthly summary for 2025-08 focusing on the Azure/PyRIT project. Highlights the delivery of a new plagiarism-detection capability along with a supporting demo notebook, tests, and utilities. Emphasizes business value such as IP risk mitigation and improved model governance.
Concise monthly summary for 2025-08 focusing on the Azure/PyRIT project. Highlights the delivery of a new plagiarism-detection capability along with a supporting demo notebook, tests, and utilities. Emphasizes business value such as IP risk mitigation and improved model governance.
Monthly summary for 2024-10 focusing on Azure/PyRIT OpenAI integration work, feature delivery, bug fixes, and business impact.
Monthly summary for 2024-10 focusing on Azure/PyRIT OpenAI integration work, feature delivery, bug fixes, and business impact.

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