Independent consulting from a Microsoft Certified Solutions Architect. I help enterprises ship AI on Azure — including the regulated, complex, and .NET-heavy environments others avoid.
Architecture, deployment, and operationalization of Azure AI Foundry. Agent design, model selection, evaluation, and production deployment with proper observability and cost controls. For teams who have done a POC and need to get to production without a six-month detour.
Retrieval-augmented systems built on Azure AI Search, pgvector, and Azure OpenAI. Hybrid retrieval, structured citations, evaluation. Confluence, SharePoint, document corpora, or custom data sources — built to integrate with applications you already have.
AI capabilities embedded into existing .NET applications without rewriting the platform. WebForms, MVC, .NET Core, Blazor — modernization paths that respect what you already have. For organizations with significant .NET investment that don't want to choose between AI and stability.
AI architectures that meet PCI-DSS and similar compliance requirements. Application Gateway WAF v2 with per-tenant policy, Azure Deployment Stacks for change control, Defender suite integration, hardened Container Apps deployments. Built from current production experience.
RAG-powered employee Q&A over an HR-policy corpus in SharePoint, behind enterprise SSO. Later promoted into Azure AI Foundry as a managed Agent.
End-to-end retrieval platform with a legacy .NET 4.8 WebForms control proving AI drops into existing intranets without a rewrite. Plus a separate AI item-prioritization service.
RAG platform over uploaded technical PDFs with image-aware retrieval, real-time ingestion progress, and a YARP BFF security pattern.
200+ project codebase migrated to .NET Core. 25% reduction in infrastructure overhead.