I work on cloud, data, and AI systems, mostly where ideas need to become something teams can actually run.
Senior Cloud Solution Architect in the Microsoft ecosystem
Zurich area, Switzerland
PhD background in information systems and innovation
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.
Working with customers and teams in the Microsoft ecosystem on cloud architecture, data platforms, AI adoption, and practical implementation.
Writing practical articles about machine learning, data science, analytics, and implementation patterns based on topics I explored as a consultant and builder.
A research foundation that still shapes how I think about systems, adoption, innovation, and the gap between ideas and implementation.
An experiment around scheduled agent runs, heartbeats, monitoring, and more complex autonomous tasks.
A blog I started while working as a machine learning consultant, with practical articles about ML, data science, and analytics use cases.
A real-estate data and AI pipeline for exploring new-building projects, subprojects, and project imagery.
A growing collection of practical AI use cases, demos, and implementation patterns.
A legal AI agent for Swiss law that supports multiple case types and works across cases, regulations, and related legal sources.
A classic ML project with XGBoost: a crypto research and paper-trading platform with automated data scraping, model ranking, and live experiment tracking.