I architect event-driven, cloud-native backend systems using C#/.NET, Kafka, and Kubernetes on Azure and AWS. With Domain-Driven Design, CQRS, and the Saga pattern, I build platforms that stay correct, observable, and scalable under real production load — from patient-chart services handling 750,000+ users to compliance-critical claims and trading workflows.

I lead teams into applied AI, building production RAG pipelines, multi-agent orchestration, and MCP-based tool integration with a human-in-the-loop checkpoint — the kind of AI that ships into regulated healthcare and financial environments, not just demos.

On the commerce side, I build and customize Shopify themes in Liquid, stand up headless storefronts on the Storefront API, and write Admin API automation that keeps catalog and inventory data correct across multiple stores — theme builds for retail, furniture, and beverage brands, plus the integration work that keeps a store's data honest once traffic and SKU counts grow.

I specialize in the hard, ambiguous problems: compliance gaps, silent data-quality failures, and platform outages. I turn them into durable architecture — immutable audit logging, idempotent and safely-retryable operations, HIPAA-compliant RBAC, and reconciliation systems that catch discrepancies before they reach users. My goal is simple: systems that are correct by design and easy to trust.