Enterprise Engineering

Designing resilient, cost-aware cloud architectures that scale from prototype to production without rewrites. I evaluate your existing systems, identify the seams where complexity is costing you, and define a practical migration path.

Whether you are sizing a new Azure deployment, untangling a monolithic legacy system, or planning a multi-region failover strategy, the deliverable is a blueprint your team can execute — not a slide deck that gathers dust.

Full-stack engineering from discovery to deployment, built on modern stacks with a bias toward simplicity. I write code — architecture decisions, database schemas, API contracts, and the frontend surfaces that make the system usable.

Every project ships with a test suite and a runbook. The goal is not just working software; it is software your team can own, extend, and debug without calling me back.

Clean, versioned APIs that make data accessible, queryable, and secure across heterogeneous clients. I design REST and OData endpoints that expose exactly what consumers need — no over-fetching, no undocumented side effects.

From entity modeling through authentication and rate limiting, each API is documented with OpenAPI and backed by integration tests that run in CI.

Orchestrating AI models into production pipelines — voice, vision, language — with pragmatic guardrails. I do not sell AI hype; I wire real models into real systems, with fallback paths, cost controls, and observable outputs.

From prompt engineering to multi-model pipelines to agentic architectures, the work is grounded in the same production discipline as every other engineering engagement.