My path has always been about making complexity manageable.
From engineering and SAP at Deloitte, to running the largest system separation in Mercedes-Benz's recent history, to building AI-native modernization at smartShift — one continuous thread.
I started in engineering, in a country where the word for "transformation" mostly meant rebuilding things that were already broken. I spent my twenties learning SAP — the most demanding, least glamorous craft in enterprise software — because the systems that actually run companies are the ones nobody writes essays about.
Then I spent a decade at Deloitte shipping SAP into refineries, distributors, fashion groups. Brussels, Moscow, Madrid. Saratov, Antwerp, Brussels again. I learned that almost nothing about a transformation program is technical — the technology is the part you can plan.
At Mercedes-Benz, I owned the largest system-separation program in the company's recent history: 150 people, five parallel SAP projects, seven production countries on three continents. We did the work. The certification on the wall says I'm ready to run a department. I made a different choice.
I went to smartShift in 2025 because AI is creating the next transformation wave, and I wanted to be inside a product company while it happened. We use AI to automate SAP code modernization at scale — one recent client engagement: 5.6 million lines of code, six weeks. The kind of work that used to take quarters of human effort, done in days.
What I do now is the same work I've always done, with a different toolkit. Connect enterprise systems, AI, and the human side of change. Make visible what was already true.
