San Francisco, California, United States
• Designed and built a Redis-backed privacy compliance service on Kubernetes that filters opted-out users from the ad impression pipeline in real time, ensuring CCPA/GDPR/IAB compliance at scale with in-memory caching, background sync, and automated alerting.
• Drive cross-functional product initiatives from initial concept through implementation — collaborating across Ad Ops, Data Science, Engineering, and Product to deliver features that automate manual workflows, save internal teams hours of work, and help enterprise clients get more value from the platform. Played mini-PM!
• Delivered security remediation under a 4-day deadline to close a major client contract. Achieved a clean re-test report from the penetration tester before the signing deadline.
• Architected a new deterministic social media measurement capability — designed and built the complete end-to-end data pipeline for a panel partner integration that enables brand lift measurement on walled garden platforms, allowing us a huge competitive edge in the market overall.
• Completed Kubernetes/EKS and Karpenter upgrade across staging and production with zero downtime. Created comprehensive runbook documentation for these upgrades going forward.
• Conduct technical interviews for senior engineering candidates and own onboarding/offboarding processes for database and identity access management.