Internal developer platforms, GitOps delivery, and production AI systems — I build the paved paths that make fast and safe the same choice.
// HOW IT WORKS
Platform engineering done well makes fast and safe the same choice, not a tradeoff.
I build the internal tooling and paved paths that let your teams ship without waiting on a ticket queue. Done well, platform engineering makes fast and safe the same choice, not a tradeoff. I design internal developer platforms, GitOps pipelines, and the PlatformOps practices that keep them running — Backstage-style portals, GitHub Actions or Azure DevOps, or Kubernetes, depending on what you're actually standing on.
The same discipline extends to your AI systems, because an AI is only as reliable as the context it's given. I make that context deliberate instead of accidental: prompt design, retrieval pipelines, and the guardrails that keep an agent inside its intended scope. Vendor-agnostic by default — Anthropic, OpenAI, or self-hosted — with the same rigor applied to Copilot Studio and Azure AI Foundry where that's the stack.
The result is a platform your engineers want to use, self-service where it matters, guardrails where it counts, and documentation that stays true after the person who wrote it moves on — testable, not just impressive in a demo.