At Hewlett-Packard Enterprise, I built a real-time telemetry pipeline with Java, Spring Boot, and Kafka Streams, enabling sub-second state tracking for enterprise network devices. I also developed GraphQL monitoring APIs for enterprise customers.
I led scale optimizations across Go microservices that reduced large-site configuration push times from hours to minutes. I defined Protobuf schemas and Kafka Streams topologies, contributing to a 35% reduction in customer-reported network incidents.
I built a multi-agent diagnostic workflow that gathers service logs and telemetry, investigates root causes, and generates code fixes; it cut MTTR by 50%. Earlier at Hewlett-Packard Enterprise, I worked on AI-assisted network troubleshooting and BGP and EVPN configuration, and built distributed rate-limiter and cache projects.
