Skills / focus areas
Azure cloud architectureAI and machine learning use casesData platforms and analyticsAgentic systems and orchestrationWorkshops, writing, and technical storytelling
About
About
I am a Senior Cloud Solution Architect in the Microsoft ecosystem. Over the past years I have worked across cloud architecture, data platforms, machine learning, and AI adoption. I like the space where a promising idea needs to become a real system: with identity, data boundaries, governance, cost, operations, and enough clarity that teams can keep improving it after the first demo.
Speaking / thought leadership
What it takes to move from AI demos to systems people can use
Azure AI architectures for teams that need to ship
Agentic systems, orchestration, and where the hard parts start
AI governance, sovereignty, and architecture trade-offs
How data platforms change when AI becomes part of everyday work
Selected timeline
Current
Microsoft cloud, data, and AI work
Working with customers and teams in the Microsoft ecosystem on cloud architecture, data platforms, AI adoption, and practical implementation.
Ongoing
Public AI and ML publishing
Writing practical articles about machine learning, data science, analytics, and implementation patterns based on topics I explored as a consultant and builder.
Academic foundation
PhD background in information systems and innovation
A research foundation that still shapes how I think about systems, adoption, innovation, and the gap between ideas and implementation.