From prototype to production. Reliably.
A boutique AI & data engineering consultancy turning promising experiments into dependable, production-grade systems.
AI-first internally
The firm itself runs on AI agents and automation — delivery, research, operations. Lived practice, not just advice.
Production-first
Real deployed systems with MLOps and monitoring — reliability over throwaway prototypes, not slideware.
One end-to-end partner
End-to-end across the AI lifecycle from one partner — no junior hand-off, no vendor-handoff risk.
Cloud-agnostic by design
AWS, Azure, GCP or on-premises — chosen on merit, with GDPR and responsible AI embedded.
Excellence · Integrity · Innovation
Excellence
Robust architectures and high-quality code — from solid data foundations to scalable AI, with measurable business impact.
Integrity
Transparency on every project. Data protection and responsible AI are fixed components, especially in regulated environments.
Innovation
Proven technologies combined with modern AI and cloud — focused on genuine added value, not novelty.
Sole founder and managing director, operationally active with a primary focus on GenAI, LLMs and NLP. Track record built at SVA GmbH and as an independent consultant.
Education
M.Sc. Artificial Intelligence, Utrecht University — cum laude
B.Sc. Psychology in IT, TU Darmstadt
Certifications
AWS ML Engineer – Associate
AWS Cloud Practitioner
Certified Kubernetes App Developer (CKAD)
Databricks Spark 3.0
Snowflake SnowPro Core
Core competencies
GDPR, the EU AI Act and responsible AI — embedded from the first sprint
Non-negotiable engineering standards across every engagement. Built in, not retrofitted.