At Meta, I build privacy-preserving advertising measurement, authorization, and AI/ML data platforms. I led the Privacy Goal Ingestion Platform and a centralized permission management platform that reduced manual access-review effort by 75%, while building highly available services processing millions of compliance events and pipelines processing billions of advertising events.
Previously at IBM, I modernized cloud infrastructure into Kubernetes-based microservices, reduced VM provisioning time by 40%, and improved system performance by 35–45%. Across Go, Python, Java, React, GraphQL, Kubernetes, and SQL, I build reliable distributed systems, data-quality frameworks, and operational tooling at production scale.
