
Developed and integrated automated Australian Tax File Number (AU_TFN) detection into the NCATComp410/comp410_spring_2025 repository, focusing on enhancing privacy protection within the PII detection pipeline. Leveraged Python, regular expressions, and unit testing to create a custom recognizer for the Presidio Analyzer Engine, enabling accurate identification of AU_TFN patterns in data streams. The work emphasized code quality and reliability by introducing positive verification tests, ensuring compliance with Australian privacy requirements. No major bugs were reported during this period, as efforts centered on robust feature delivery and expanding data anonymization capabilities to reduce the risk of sensitive information leakage.
February 2025 monthly summary for NCATComp410/comp410_spring_2025. Focused on strengthening privacy detection capabilities and validating new AU_TFN detection in the PII detection pipeline. Delivered a new AU_TFN recognizer integrated into Presidio Analyzer Engine, and added tests to verify detection accuracy. No major bugs reported this period; primary effort centered on feature delivery and code quality to reduce PII leakage risk and support AU TFN privacy compliance.
February 2025 monthly summary for NCATComp410/comp410_spring_2025. Focused on strengthening privacy detection capabilities and validating new AU_TFN detection in the PII detection pipeline. Delivered a new AU_TFN recognizer integrated into Presidio Analyzer Engine, and added tests to verify detection accuracy. No major bugs reported this period; primary effort centered on feature delivery and code quality to reduce PII leakage risk and support AU TFN privacy compliance.

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