AI & Data for Industry From strategy to implementation

I help industrial companies in manufacturing and R&D adopt AI strategically — from data strategy through implementation to team enablement. Hands-on, compliant, end-to-end.

Discuss your project

AI Consultant with Industrial DNA

Before developing AI strategies for industrial companies, I was an engineer at a global automotive supplier. Test benches, sensor data, manufacturing processes – I know the world where your AI systems need to work.

I'm not a generic AI consultant from the PowerPoint corner. I understand why measurement data from manufacturing has different data quality requirements than web shop data. Why the AI Act and GDPR create special challenges in industry. And why your team needs to be able to evolve AI systems on their own.

M.Sc. Big Data & Analytics

B.Eng. Automotive

AWS Certified

7+ Years AI, Data & Cloud

Does this sound familiar?

We don't know where to start with AI

Leadership wants AI, but there's no concrete roadmap for your manufacturing or R&D context.

Our data isn't AI-ready

Data in silos, poor quality, no pipelines. AI projects fail before they even start.

AI pilots don't make it to production

Proof of concepts work in the lab — but the path to production fails due to infrastructure, processes, or missing ownership.

What I Deliver

AI & Data Strategy

AI roadmaps for manufacturing and R&D. Data maturity assessment, data governance, and a clear path to AI Act & GDPR compliance. Strategy based on your specific use case — not on hype.

AI Strategy Data Strategy AI Act GDPR Governance

Hands-on Implementation

Data pipelines, ML infrastructure, AI integrations into existing workflows. From pilot to production — no throwaway PoCs. Cloud infrastructure as the foundation.

Cloud Architecture AWS Azure Data Platforms AI Engineering MLOps

Team Enablement & Upskilling

I work with your team, not above your team. Pair-working, coaching, knowledge transfer. Goal: Your team operates and evolves the AI systems independently.

Coaching Knowledge Transfer Team Enablement Train-the-Trainer

How I Work

Assess

Analyze your data landscape, use cases, and maturity level. Identify quick wins.

Clear AI roadmap

Implement

Build data pipelines, integrate AI models, ensure compliance.

AI system in production

Enable

Pair-working, coaching, and knowledge transfer to your team.

Your team works independently

Handover

Documentation, runbooks, and sustainable ownership structure.

Sustainable, no dependency

Reference Projects

Vertical AI AI Startup

AI Cloud for Fine-Tuning

AI platform for application-specific fine-tuning of Small Language Models. Multi-tenant GPU pools with dynamic LoRA adapter loading. End-to-end: from AI strategy through cloud architecture to production operations.

AWS Kubernetes vLLM MLOps

Essent Energy Corporation

Real-time Data Platform & Analytics

Data strategy and implementation of a real-time platform: 100k+ events per second, batch to event-driven migration. GDPR-compliant data architecture across multiple domains — the foundation for data-driven decisions.

Data Strategy Kafka GDPR AWS

Vibracoustic Automotive Supplier

Data Platform for AI-driven Analysis

AWS-based data platform for test bench measurement data. Domain data model and structured data in the data lake — the foundation for AI-driven quality analysis in manufacturing.

Data Strategy AWS Python Manufacturing

What Clients Say

Zep Swijghuisen

CTO & Co-Founder, Vertical Studio AI

"Kevin's leadership and critical thinking fundamentally changed our overall technical vision. No matter the problem, his cloud and system architecture expertise and clear thinking always lead to a solid solution."

David Bros

Lead Data Engineer, Essent

"Kevin is a tremendous engineer, capable of any task any business might throw at him. His approach is methodical, detail oriented and future proofed. His solutions stand the test of time both in resilience and quality."

Tech Stack

AI & Data

AI Engineering MLOps Data Platforms Python SQL Spark

Cloud & Infrastructure

Cloud Architecture AWS Azure Kubernetes Terraform Docker

Streaming & Integration

Kafka Event-Driven Architecture Spring Boot Kotlin

Practices

Data Governance AI Act Compliance GDPR Infrastructure as Code GitOps CI/CD

Why Work With Me?

End-to-End

From strategy through implementation to operations. No handover chaos between different consultants.

In the Trenches

I work hands-on with your team — not from the sidelines. Pair-working instead of PowerPoint.

Pragmatic

Working AI solution in 4 weeks, not the perfect system in 12 months. Quick wins first, then scale.

Max 2 Clients

I'm fully present on your project. Not a consultant juggling five projects in parallel.

Let's Talk

First consultation free — including an honest assessment of your AI readiness and three concrete next steps. No sales pitch.

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