Services
AI and cloud development, delivered hands-on
Four ways I help teams ship: building AI features and agents, engineering the Azure platforms they run on, putting governance around how AI is used, and full-stack product development. Every engagement is deliverable-led and scoped tightly.
AI Development
LLM applications, AI agents and MCP integrations that make it to production - RAG, agent architectures, evaluation and guardrails.
AI Development →Cloud Development
Azure-native integration and platform engineering - API Management, Functions, Entra ID, Terraform and the pipelines around them.
Cloud Development →AI Governance & Security
Controls for AI adoption, from usage policy to audit evidence - grounded in experience shipping AI-governance products.
AI Governance & Security →Web & Product Development
Full-stack product engineering for web platforms - Next.js, .NET, headless CMS and the API layer underneath.
Web & Product Development →Engagement model
Engagements are deliverable-led: a scoped piece of work with a defined outcome, not an open-ended retainer. Typical shapes are a short discovery or review, a fixed-scope build, or hands-on delivery alongside your team.
You work directly with the engineer doing the work. Small commitments first - prove the value, then scale.