Building, solving & scaling with AI

I build dependable AI
that ships.

Technology consultant and full-stack AI engineer. Currently at Wannado helping companies adopt AI strategy. Ex‑founder (7‑person fintech, exited). BSc Data Science & AI (Maastricht). Python, Java, JS — idea to production. Measured by outcomes, not hours.

Start with a Strategy Call → See How It Works

Track Record

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Technology Consultant

Wannado · Enterprise strategy & AI adoption

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Founded & Exited

CTO · Topicalbase (7-person fintech)

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BSc Data Science & AI

Maastricht University

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2,000+ Books Read

Autodidact · Fundamentals-first

Tech Stack

🐍 Python ☕ Java ⚡ JavaScript 🧠 TensorFlow 🔥 PyTorch 🤖 LLMs / RAG ☁️ AWS / GCP 🐳 Docker 📊 SQL / NoSQL ⚙️ REST / GraphQL

Services

What I Build

End-to-end AI systems — from messy data to production deployment. Each engagement is custom-scoped to your business outcome.

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Intelligent Process Automation

I map your costliest manual workflows — invoices, onboarding, compliance checks — and replace them with AI pipelines that run 24/7 without human bottlenecks.

→Document parsing with OCR + LLM extraction

→ERP / accounting system integration

→Exception handling & human-in-the-loop

Typical ROI: €50k–150k/year

Savings: 80–200 h/month in manual labor

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Predictive Intelligence & ML Pipelines

Custom ML models that forecast demand, detect anomalies, or score leads — deployed as production APIs with monitoring, retraining, and drift detection baked in.

→Feature engineering from your raw data

→Model training, validation & A/B testing

→Production API with monitoring dashboard

Typical ROI: €100k–500k+

One prevented outage = 10× engagement cost

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LLM & RAG Systems

I build private LLM applications — internal knowledge bases, customer-facing assistants, contract analysis tools — grounded in your data with retrieval-augmented generation.

→Custom RAG pipeline on your proprietary data

→Fine-tuning or prompt engineering strategy

→Guardrails, eval suites & cost optimization

Typical ROI: 40–60% faster knowledge work

Deployed in 2–6 weeks

How I Work

From Call to Production

Week 0

Strategy Call

Free 20-min call. I audit one process and calculate your savings potential with hard numbers.

Week 1–2

Discovery & Proof of Concept

Deep dive into your data, systems, and workflows. I build a working PoC to validate the approach — you see results before committing.

Week 3–6

Build & Integrate

Production-grade system: tested, integrated with your stack, and deployed. I write the code, tests, docs, and runbooks myself.

Ongoing

Monitor & Optimize

Monthly performance reviews. Model retraining. New features. I stay accountable to the ROI we agreed on.

Typical Impact

What Changes

Manual processing time ↓ 85%

Error rate reduction ↓ 93%

Decision speed (reports) ↑ 4× faster

Cost savings realized €50k–500k/yr

Zero-Risk Pilot

If I can't demonstrate measurable results in the first 2 weeks, walk away — no invoice, no obligation. I eat the cost because I only take projects I know I can deliver.

Philosophy

Focusing on Fundamentals

Ship first, optimize second.

A working prototype in production beats a perfect architecture on a whiteboard. I get the system live, then iterate based on real data — not theory.

You pay for outcomes, not hours.

Value-based pricing means I'm incentivized to deliver maximum impact with minimum bloat. If the project doesn't save you money, I don't deserve yours.

Full stack means full ownership.

I don't hand off half-built models to your dev team. I build, integrate, test, deploy, and monitor. One person, one thread of accountability.

I build dependable AIthat ships.