I've built production backend microservices and RESTful APIs at Turbo Mail using Go, Java, Python, and AWS to support high-concurrency data ingestion.
I engineered Kafka and Redis-based asynchronous processing systems that streamed and processed 50M+ daily events with zero data loss. I also containerized services with Docker and deployed them on Kubernetes/EKS while maintaining availability and container health monitoring.
Across backend and platform engineering work, I've improved PostgreSQL and DynamoDB performance through data modeling, query tuning, and indexing, reducing API response latency by 40%. I use Prometheus, Grafana, and OpenTelemetry to make service SLAs, error budgets, and infrastructure bottlenecks visible.
I'm comfortable debugging production incidents, collaborating across regions, and communicating architectural trade-offs clearly. I also contribute fixes to open source and use modern AI developer tooling to improve developer velocity.
