AI Privacy Engineering

Overview

Established a privacy engineering function to operationalize privacy by design across products and internal systems. Implemented automated data classification, PII detection/masking pipelines, and consent/retention workflows. Partnered with legal and product teams to ensure compliance with GDPR, CCPA, and emerging privacy regulations while maintaining usability and business agility.

Role

Lead security and privacy engineer collaborating with legal and product stakeholders.

Impact

Reduced regulatory and reputational risk, improved ability to handle customer privacy inquiries, and strengthened audit readiness. Enhanced trust with customers by embedding privacy controls directly into products and processes.

Technologies, Frameworks, and Artifacts

• GDPR and CCPA compliance models
• Data mapping tools
• Presidio PII detection and masking
• Google Workspace DLP integrations