Michael Castelein
Michael Castelein Michael Castelein Dutch-American · Data & AI

Data & AI consultant.
Digital nomad.
I teach teams to use AI.

I'm Michael, a Dutch-American consultant running ML Ventures. Half the work is data: analytics, BI, and the pipelines underneath. The other half is training teams to use AI inside the work they already do. On the side I build language-learning software and small tools. I do all of it from four homes across three countries.

Right now: Netherlands, UTC+2

A globe showing the annual route between Chaozhou, Kunming, The Netherlands, Atlanta.

Drag to spin. The arcs are the real route.

What I do

Two halves of the same job.

One is building the data a business runs on. The other is getting the people in that business to use the tools already sitting in front of them.

01 / The engine

Data & analytics

Analytics, BI, analytics engineering, data science and ML. This is what the agency has run on for years, with two subcontractors and no office in any of the four countries.

  • Analytics and BI. Dashboards people open, and numbers that reconcile.
  • Analytics engineering. Models and pipelines that hold up when the business changes.
  • Data science and ML where it pays for itself.
  • Data engineering, since the line between that and analytics keeps blurring.

02 / The newer half

AI adoption & training

Most companies have already bought the AI tools. Almost nobody uses them well. I run hands-on workshops with teams to fix that, working in their own files and their own workflow. No slide deck about the future of AI.

  • Hands-on workshops with a team, using their real work as the material.
  • Where AI helps in a data or analytics workflow, and where it wastes time.
  • Prompting and tooling habits that outlast the session.
  • Follow-up, so it becomes how the team works.

Talk about a project

Projects

What I have built.

Products, and tools that started as a problem I had. Some are live in the browser, some run on my own machine.

IELTSBoost

Live product

Practise a real IELTS exam, get a band score back in seconds.

An IELTS prep service covering all four sections: listening, reading, writing and speaking. You answer real questions from past exams, an AI examiner marks the answer and explains the band score, and a dashboard tracks where you are improving and where you are stuck. Next.js, with Claude doing the marking.

  • IELTS
  • AI feedback
  • Next.js
Open → ielts-boost.vercel.app Source

Caffeine Lab

Live, try it

Drag coffees onto a day and watch what your blood does.

A sandbox for understanding caffeine. Drop drinks on a timeline and the curve, the bedtime number and every panel below redraw live. It runs a one-compartment pharmacokinetic model with first-order absorption, so a dose peaks about 45 minutes in and then halves on your own clearance rate. One HTML file, no server, works offline.

  • Health
  • Data viz
  • Single file
Open →

Lantern

Building

One Mandarin app instead of the seven I was juggling.

A Mandarin learning app built around a spaced-repetition engine. Everything else hangs off that same vocabulary and progress model: an AI reader that generates passages at your level, listening drills, mock HSK exams, character decomposition, and a tutor you can talk to. Next.js and Supabase, with an FSRS scheduler at the centre.

  • Mandarin
  • SRS
  • Next.js

All projects

Now

What's happening.

Updated August 2026

Building

The rest of it.

ML Ventures is my company. The consulting pays for the rest, and the rest is why the consulting stays interesting.

Writing & content

Growing

Data, analytics and AI workflows on LinkedIn. Travel on Instagram, YouTube Shorts and TikTok. A following on HelloTalk that grew out of language content I never planned to make.

Language-learning software

Building

The tools I wanted while learning Mandarin and could not find: SRS notecards, audio cards, adaptive readers. Built for my own studying first, which is why they are any good.

Ecommerce

Lina’s

Lina runs a Shopify store selling clip-on nails, sourced from China. I help with the parts that are spreadsheets.

China immersion houses

Long game

The long idea: places in Chaozhou and Kunming where people come and live in the language rather than study it. Years away, not months.

Where

I do all of it from four homes.

The same route, in the same order, every year: Chaozhou, Kunming, the Netherlands, the United States. Chaozhou and Kunming are both in China and share almost nothing. Different food, climate and language, with a thousand kilometres between them.

01 / Family

Chaozhou 潮州

January to March · China · 23.7°, 116.6°

The reason the loop exists at all.

Chaozhou is my wife Lina's hometown, a Teochew-speaking city in eastern Guangdong that almost no foreigner ends up in. The language there is not Mandarin and mostly is not written down. We spend the first three months of every year here.

  • A year of family traditions, compressed into one season
  • Learning Teochew slowly and badly, since you cannot study it from a book
  • Regular trips up to Shenzhen and Guangzhou to meet people building things

02 / Deep work

Kunming 昆明

April to July · China · 25.0°, 102.7°

Eternal spring, nineteen hundred metres up.

Kunming is called the spring city because the weather refuses to do anything interesting. High plateau, mild all year, thin clean air. This is the longest stint and the one where most of the building happens.

  • The heaviest client work and product building of the year
  • Mandarin at full immersion instead of at a desk
  • Training at altitude, which is either a real advantage or a good excuse

03 / Roots

The Netherlands

August to October · Netherlands · 52.1°, 5.3°

The Dutch half, in the good months.

Half my passport and most of my twenties. I studied here and worked here: BI at HousingAnywhere in Rotterdam, then data engineering at a consultancy. I started the agency here, before it stopped needing an address.

  • Family, friends, and anything the business needs a European presence for
  • Racket sports on real teams, in a country that takes them seriously
  • October is the seam: half here, half already in the US

04 / The other passport

Atlanta

November to December · United States · 33.8°, -84.4°

Closing out the year on the American side.

The other half of the hyphen, and where the year ends: holidays, family, and the annual reset. Most of what the US means on my CV happened earlier, an internship at Southwest and an actuarial co-op at John Hancock in Boston. These two months are the part that repeats.

  • Holidays, and the people you only see once a year
  • The end-of-year business reset: numbers, pricing, what to kill, what to start

Before this

Aerospace to analytics.

  1. Mathematics & Aerospace Engineering, BS University
  2. Data analytics intern Southwest Airlines
  3. Actuarial co-op John Hancock, Boston
  4. Econometrics: Quantitative Finance, MS University
  5. BI analyst HousingAnywhere, Rotterdam
  6. Data engineer Consultancy, Rotterdam
  7. Founder ML Ventures
  8. AI & Data Science Lead Centered Care

Off the clock

Rackets, distance, spreadsheets.

Table tennis

I founded a table tennis association and chaired it. Still the sport I would keep if I could only keep one.

Badminton

Former chairman of a badminton association, and still the second racket in the bag.

Running & triathlon

Working toward a first triathlon, with an Ironman somewhere further down the list.

Spreadsheets

I model things that do not need modelling and I enjoy it. This is a sincere entry.

Languages

  • English Native
  • Dutch Native
  • Mandarin Fluent, still climbing
  • Japanese Conversational
  • Teochew Beginner

Get in touch

Let’s have coffee

If any of this overlaps with something you are doing, a data problem, getting AI to land in your team, learning Chinese, or you just liked the map, say hello.

Message me on LinkedIn

I answer from whichever timezone I am in. It changes four times a year.