About

I started in full-stack product work and steadily moved toward the systems side of shipping software — APIs, data models, cloud infrastructure, and the operational details that keep production services trustworthy.

Today I work as a backend-leaning full-stack engineer. I am comfortable across the stack, but I spend most of my time on TypeScript/Node services, data-intensive backends, and AWS infrastructure that product features depend on.

Recent work includes AI-native applications and AI infrastructure: LLM integrations, agentic workflows, graph-backed market intelligence, and ModelRail — a production AI gateway for multi-model routing, limits, and billing. Earlier roles covered payments platforms, authentication, and performance-sensitive web products.

I am most interested in engineering problems where reliability, cost, and clear interfaces matter: event-driven backends, cloud systems that scale without surprise bills, and AI features that behave predictably in production rather than only in demos.