Daniel Mo

Privacy Engineer @Meta

London, GB

Critical Commitment Safeguard Review & Privacy Incident ResponseLed technical purpose limitation compliance program & operationalized feedback loop flywheel program for company-spanning critical privacy commitments in sensitive data use/facial recognition/legal purpose limitation, unifying compliance strategies for 40+ critical commitments and 200K+ assets across Meta.Also part of Privacy Incident Response on-call, proactively leveraged AI to shape systematic remediation plan for privacy incident clusters, facilitating proactive detection and prevention of security and privacy risks.Accomplishments:• Orchestrated 0-1 solution overhaul in 4 months with senior leadership dependencies across 3 engineering orgs. Achieved 90% engineering effort reduction, optimizing compliance SLA from months to hours. Established scalable RACI model with 20+ product groups to deploy purpose-limitation-as-a-service, creating a flagship solution with defensible compliance records for internal/external assessments. Defined and supported roadmap with senior engineering managers.• Quarterbacked multi-halves Privacy-by-Design roadmap for Face Recognition. Negotiated trade-offs between compliance risk, product vision, and engineering constraints representing Privacy Engineering org. Increased compliance effectiveness by 3 engineer-years saved annually.• Designed and shipped first-ever legal output closure boundary, vastly accelerating Meta’s response to time-sensitive regulatory and litigation inquiries by streamlining access protocol.• Compliance in AI Era: Set vision and drove alignment for inference-time data access control framework for Meta AI products. Pushed company-wide adoption of secure face blurring algorithm.

Southeast University

Bachelor of Engineering - BE, Computer Science

Carnegie Mellon University

Master of Science - MS, Information Technology - Privacy Engineering