High-End Engineering redefined by Machine Learning & Simulation.

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From Fundamental Research to Business ROI

I am an industry-hardened executive based in Austria, with a proven track record of translating complex engineering R&D into commercial success. My background spans from early computational work at NASA Langley to managing large-scale engineering departments (250+ engineers) in the automotive sector.

Additionally, I bring expertise from leveraging Machine Learning for competitive engineering advantage at several teams in the premier class of motorsport.

Unlike purely academic consultants, I understand the bottom line. I help companies leverage their Research & Data—connecting scientific findings with ERP/business logic—to create unique Selling Points (USPs) that generate revenue.

In my last leadership role the single biggest efficiency lever was not another tool — it was the systematic connection and AI-based contextualization of existing data sources (heavily customized ERP, project-planning systems, document management and test databases). This data-hub approach alone delivered annual savings of more than €1 million through eliminated double work, real-time transparency and faster decisions — while simultaneously creating the clean, context-rich data foundation that later made every AI and machine-learning initiative 5–10× more effective and turned engineering insights into new, monetizable product features.

View Scientific Publications & Research History