Head of Data Science & AI
Scaling AI from strategy to shipped product. I lead teams that turn generative AI, NLP and machine learning into measurable business outcomes.
I'm a data science and AI leader with over a decade of experience driving AI strategy, building high-performing teams, and shipping products that move the needle. At i-Genie.ai (consumer insights without surveys, faster, better, cheaper) I lead Data Science & AI, define the early product roadmap, and took Brand Pulse, ACQ and Innov8 from zero to market. Under my leadership, i-Genie became one of OpenAI's top API consumers globally (10B+ tokens).
Before i-Genie, I spent 8+ years at Unilever where I scaled a data science function from being one of the first scientists to a 25-person Data Science & AI Engineering organisation within Consumer Market Insights, running projects across Consumer Insights, Marketing, NPD, HR and R&D. I set the technical vision, hired and developed talent, and delivered award-winning solutions in NLP, computer vision, and responsible AI.
What sets me apart: I combine deep technical fluency with commercial instinct and stakeholder storytelling. I don't just understand the models; I know how to align them to P&L impact, build the teams to deliver them, and communicate the "so what" to the boardroom.
Roadmap ownership, 0-to-1 product launches, GenAI at enterprise scale
Scaled DS functions from scratch, hired and developed 25+ person teams
Translating AI into boardroom language, aligning technical vision to business KPIs
FMCG, public sector, NGOs, ad tech, market research
From first data scientist to leading a 25-person AI organisation. A track record of building teams, shipping products, and driving commercial impact.
2023. Recognised as a leading voice in artificial intelligence on LinkedIn
Frontrunner Award for pioneering AI innovation at scale
Frontrunner Award for building responsible and ethical AI systems
Industry recognition for Influencer Fraud Detection Solution
Market Research Society award for Computer Vision Solution
Market Research Society award for Language Analyzer, an NLP solution
Award for applying data science to create positive social impact
Honoured for surpassing 10 billion tokens. One of OpenAI's top API users globally
Fellow · Since 2016
Member · 2018–2020 · via Unilever
Customer Advisory Board · 2016–2019 · via Unilever
Community member · AI and analytics thought leadership
Bridging the gap between technical AI capability and real-world business impact.
Defining strategy and delivery models for production-grade GenAI systems. From LLM-based product features to enterprise AI platforms processing billions of tokens.
Strategy & DeliveryDriving organisation-wide AI adoption and cultural change. Enabling leadership teams and business functions to operate with data confidence.
Change LeadershipMaking AI investment decisions tangible for C-suite and board audiences. Connecting technical capability to commercial outcomes through clear, compelling narratives.
Executive Influence22 books that shaped how I think about data, people, and the world.
Things I build, ship, and share with the community.
Scrapes, classifies, and tracks AI/ML/Data Science job listings from Dutch job sites over time. SQLite database, Chart.js dashboard, and automated weekly updates via GitHub Actions.
$ python -m src.main --update
Top category: data-scientist (24%)
Top skill: Python 84% | LLM 20%
Dashboard generated with 6 charts
An interactive terminal portfolio you can run with npx. Navigate my resume, skills, and experience right from your command line with arrow keys.
A Chrome extension that summarises any web page with AI. Get key points, sentiment analysis, and reading time estimates in one click.
A Python CLI that scrapes 4 major Dutch retailers for Pampers Premium Protection prices and ranks them by price per unit. Uses JSON-LD extraction and Playwright browser automation.
$ python tracker.py
Scraping Albert Heijn... ✓ 1 product
Scraping Bol.com... ✓ 2 products
🥇 Bol.com €0.1166/unit (240 pack)
A lightweight, zero-dependency Python framework for scoring and comparing LLM prompt outputs. 10+ built-in scorers, model-agnostic runners, side-by-side benchmarking with variance analysis, and multi-format reporting.
$ python quickstart.py
ExactMatch: 1.00 LengthRange: 1.00
Pass rate: 75% | Avg score: 0.750
Winner: smart-model (score=1.0)
Native iOS apps I've designed, built, and shipped.
A native iOS app for powerlifters to log sessions with top sets, back-offs, and RPE tracking. Includes training program builder, e1RM progress charts, warm-up calculator, plate calculator, rest timer, and competition scoring (Wilks, DOTS, IPF GL). All data stays on device.