At Google, I build backend, AI/ML, data, and reliability systems for Google Pay financial security and YouTube Safety. My work has helped reduce fraud losses by 30%, lower AI API compute costs by 40%, and improve moderation accuracy by 50%.
I’ve owned Java transaction-processing services, Python/FastAPI moderation workflows, Vertex AI and TensorFlow anomaly detection, RAG frameworks, and latency-sensitive services running on GCP, Kubernetes, GKE, Borg, Cloud Spanner, and Redis.
Previously at eBay, I led real-time marketplace personalization work across Node.js, Kafka, Spark, React, Redis, Cassandra, and Kubernetes, contributing to a 25% increase in cross-sell conversion and a 20% reduction in downtime.
