Lead technical strategy for the Risk Identification team, building Generative AI–powered compliance and risk infrastructure embedded across Meta’s product launch workflows.

AI-Driven Risk Platform: Architected and scaled an event-driven risk identification platform integrating LLM-based automation into compliance workflows. Achieved 98% recall within three months and expanded risk factor recommendation coverage to 98%, driving rapid adoption across product teams.

Strategic Technical Leadership: Directed the Automated Risk Identification workstreams and led a high-priority strategic pivot, delivering 14+ critical features within 8 weeks to unblock major business initiatives.

Infrastructure & Efficiency Optimization: Reduced annual cloud costs by ~$20M by eliminating synchronous execution bottlenecks and redesigning task orchestration into distributed asynchronous workflows.

Operational Automation: Built an automated asset-scoping and interdependency graph system to accelerate compliance evidence gathering, significantly reducing manual overhead and improving precision/recall in asset identification.

Mentorship & Talent Development: Mentored interns and engineers across the org, supporting successful return offers and accelerating technical growth in system design and production engineering.

Technical lead for privacy compliance infrastructure, building scalable systems to enforce launch readiness and reduce regulatory risk across product teams.

Privacy Compliance Platform: Led the Launch Gating initiative, scaling compliance enforcement from 33% to 100% coverage and reducing incomplete privacy reviews by 45% company-wide.

Infrastructure & Cost Optimization: Drove capacity planning and system performance improvements that reduced global CPU utilization by 1.4%, delivering ~$5.5M in cloud cost savings across 2023–2024.

Operational Automation: Integrated intelligent asset recommendations into Evidence Manager, increasing adoption to 45% and reducing verification rework by 25%.

Asset Discovery & Access Controls: Engineered automated discovery logic to identify 90% of in-scope assets for data retention and access governance, strengthening auditability and compliance posture.

Led architecture and delivery of scalable integrity systems protecting Marketplace transactions at scale.

Trust & Safety Platform: Built the Marketplace Safety Toolkit (Safety Hub, Scam Education), integrating integrity signals directly into product UX. Increased safety feature adoption 5×, strengthened trust signal coverage by 48%, and reduced scam prevalence by 12%.

Automation & Operational Efficiency: Key contributor to the “Fix Tool” automation initiative, eliminating large-scale manual integrity workflows and driving $197M in annualized operational savings.

Infrastructure Reliability & Capacity Optimization: Optimized critical execution paths to reduce compute load by 0.35 gCPU, preventing peak-capacity outages and improving system scalability.

Early Technical Leadership: Led the Marketplace documentation and operational excellence workstream, recognized through multiple internal awards for driving sustainable engineering practices.

Marketplace Trust & Safety | Marketplace Integrity

Creating a transparent trust layer that safeguarded community interactions.

Built foundational trust infrastructure for Marketplace, embedding integrity signals directly into the buyer–seller experience.

Ratings & Reviews Platform: Designed and launched the end-to-end bilateral Ratings & Reviews system, enabling structured buyer and seller feedback with public replies. Strengthened transaction transparency, contributing to a 50% increase in local transactions and 15% growth in shipping volume.

Appeals & Integrity Workflows: Developed the Seller Appeals system to formalize dispute resolution and improve enforcement fairness. Implemented the Non-Buyer Cancellation flow to reduce order drop-offs and improve transaction reliability.