At PayPal, I work on scalability and reliability challenges in payment infrastructure. I implement Java, Kafka, and Kubernetes-based services for fee calculation and ledger reconciliation, with fault-tolerant, idempotent processing.
I also built fraud-detection pipelines and replaced manual matching with deterministic anomaly models. This work supports transactional integrity and financial correctness.
At Revelo, I orchestrated production systems with Terraform and Kubernetes, implementing Blue/Green deployments with graceful connection draining and readiness probes. I also architected a real-time event mesh using Kafka and gRPC in place of REST polling.
Across roles at CoinDesk, E-Core IT Solutions, Z3 Works, and Transamerica Retirement Solutions, I worked on Web3 platforms, distributed event-driven systems, IoT infrastructure, and Java Spring microservices. My research focuses on consensus protocols, fault tolerance, and algorithm design for consistency and availability.

