The enterprise geek in the executive room.
Twenty years of enterprise platforms. I explain the strategy to the board, design the architecture with the CIO, then sit with the engineers to find out why the system behaves the way it does.

Enterprise AI & intelligent automation
AI adoption strategy, data readiness, generative AI integration, and agentic AI workflows. Moving from pilot to production-grade AI at scale.
Cloud & solution architecture
Azure, AWS, Kubernetes — cloud-native platforms, migration strategies, and microservices architectures. From AKS clusters to Cosmos DB at enterprise scale.
Full-stack engineering leadership
Node.js, .NET, React — building and scaling engineering teams that ship. Architecture practices, code quality standards, and developer experience.
Founder · Live · Individual, Team and Enterprise plans
met.cards
Your team’s business cards, and everything they remember.
A product I founded and build. Share a card with a tap or a link, capture who you met, and let an AI model you choose remember the context — so the connection is still worth something three months later. Vision reads the paper card you were handed, transcription files the voice note you leave, and chat drafts the follow-up and keeps the promise. Every workspace is isolated at the database level, and each capability can point at a hosted provider or a model on your own hardware.
- —No app for the person you meet — the card opens as a web page
- —Ten card designs, brand templates with per-field locks, one card per context
- —Bring your own model per capability: any OpenAI-compatible endpoint, or Ollama on your hardware
- —Tenant isolation by Postgres row-level security, no third-party scripts, HubSpot sync
- —NFC metal cards, tags, stickers and wristbands — or the NTAG chips you already own

Planning an AI strategy, modernizing your cloud, or looking for a speaker? Start with a conversation.
Stay in the loop. Weekly insights on enterprise AI, cloud architecture, and technology leadership.





