Applied AII've shipped AI tools at MED-EL, built a real-time deepfake detector at Veriyou, and led an AI health app at LIT Health. The pattern is always the same: the model is 20% of the work. The other 80% is data quality, ownership, governance, and getting people to trust the output.
IT TransformationAt MED-EL, I took a fragmented IT landscape spread across 14 countries and turned it into something coherent. Cloud migration, architecture cleanup, technical debt reduction — but the hardest part was always getting 30+ sites to agree on how things should work.
Security & GovernanceLed MED-EL through ISO 27001:2022, UK Cyber Essentials, and CyberTrust Gold Label certification. Later dealt with GDPR and HIPAA at LIT Health. Security in regulated industries isn't a checkbox — it's an operating model that touches everything.
Delivery LeadershipI've led teams from 5 to 100 people across IT, product, engineering, and data. The thing I keep coming back to: teams ship reliably when they have clear ownership, shared definitions of done, and someone willing to remove blockers instead of adding process.
Regulated IndustriesMedTech (MED-EL), healthcare (LIT Health), logistics (SQUER client work), finance (BAFIT network). Every regulated industry has its own flavor of "you can't just deploy that" — but the underlying discipline of balancing speed with compliance is the same.
Executive LeadershipBuilt and scaled MED-EL's IT organization from a small team to a global function with multimillion-euro budgets. Comfortable talking to board members about strategy and to engineers about architecture — ideally in the same meeting.
Product ManagementCame to product management from the IT and engineering side, which means I think about operability and maintenance from day one. At SQUER, I shape how we position and sell our product capabilities — connecting commercial strategy with what our teams can actually deliver.
Data & AI PlatformsLLMOps, RAG, agents, data pipelines. At MED-EL I built the internal data infrastructure that made our first AI tools possible. The gap between a working prototype and a production system is where most teams get stuck — and where I tend to focus.