Backend engineer with hands-on AI expertise — designing scalable platforms, owning the full tech stack, and shipping production AI systems end to end.
Explore My ExpertiseBuilding and maintaining the internal platforms that engineering teams rely on — CI/CD pipelines, developer tooling, service meshes, and observability stacks that scale without friction.
Infrastructure as Code (Terraform, AWS CDK), container orchestration (Kubernetes, ECS), and multi-region cloud architecture on AWS, GCP, and Azure — designed for reliability and cost efficiency.
Translating business requirements into robust distributed systems — microservices, event-driven architectures, data pipelines, and API gateways — with clear ownership boundaries and documented ADRs.
Taking end-to-end responsibility for systems: from initial design and sprint planning through production incident response, capacity reviews, and cross-team technical alignment.
Hands-on backend expertise applied to AI — building RAG pipelines, LLM-powered automation, Claude AI plugins, and data platforms that bring AI from prototype to reliable production.