AI · DATA · TECHNOLOGY LEADERSHIP
AI Solutions Architect
Principal Data Architect
Technology Leadership
Freienbach, Switzerland
I build AI and data systems to last.
Reliable AI needs timely data, tailored context, validation, governance and workflows that people can trust and run. I architect and build those foundations, with responsibility from business case to production.
My experience combines three decades in business-critical data systems with technical organisation leadership, business development and acquisition integration. I have led teams, co-owned a software company and stayed close to the engineering work throughout.
WHAT I BRING
Task-specific context, enterprise integration and human–AI workflows, with evaluation, traceable evidence and approval controls. I help engineers across experience levels deliver complex work and preserve team knowledge as tools and models change.
Reliable ingestion, well-modelled data, point-in-time history and operational access. My work connects complex business systems with the data foundations needed for decisions, analytics and AI.
Specialist expertise in SQL workload diagnostics, execution plans, indexing, partitioning and resource optimisation. I give teams self-service visibility of performance and attributable cloud cost, with practical guidance they can act on.
Technical organisation leadership, business development, due diligence, M&A and post-merger integration. I connect executive priorities with credible architecture, hands-on delivery, developer coaching and knowledge transfer.
QUALIFICATIONS
Dipl.-Ing. in Computer Science, TU Wien, 1997. MSc-equivalent degree, graduated with distinction.
Academic focus on neural networks, computer vision and business IT.
Continued study in deep learning, time-series ML, LLM alignment and advanced agentic systems, including EPFL Applied Machine Learning Days workshops.
Earlier Microsoft certifications cover older versions of databases, SQL Server, .NET and virtualisation.
SQL Server and Teradata architecture, real-time data integration and performance engineering. Implementation with Python, C#/.NET and PowerShell, plus agent-assisted Rust code-graph development.
Azure SQL and cost analytics; AWS migration preparation; Google Cloud project environments. Applied ML work spans research, prototyping and AI-assisted development.
German: native. English: C2. French: B1.
Experience across airlines, telecommunications, retail, financial services, sustainability and broadcasting.
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