Data & AI Architect · Project Lead · Amsterdam
Hi, I'm Ian.
I build systems
that keep running.
I am Ian Ronk, a Data & AI Architect based in Amsterdam. I build systems end to end, from the servers and pipelines underneath to the models and workflows people actually use, and I lead the projects that get them into production.
I spent five years at KR&A, the first four part-time alongside my studies, growing from junior data scientist to Head of Data / Data & AI Lead. There I was technical lead on a 13-country house-price index study for Eurostat, whose results Eurostat published in a statistical working paper, and led the Connectivity Score, an accessibility score for 38 countries that a.s.r. real assets now uses in its fund-analysis platform. I also build AI and automation systems on Azure and on infrastructure I set up and run myself.
I studied Artificial Intelligence at the University of Amsterdam and Data Science at Bocconi in Milan, and I keep a research line on geodata and housing markets. I work in Dutch, English and Italian.
- Since 2019
- building software that runs in production
- 5 years
- of production data systems at KR&A
- 38
- countries covered by the live Connectivity Score
- 300k
- records a week through one scraping pipeline
- 4
- engineers in the data team I built up
Full CV:
experience, papers, education.
Five years at KR&A (the first four part-time), from junior data scientist to Head of Data / Data & AI Lead, a published Eurostat study, and the AI and automation systems I build now.
Professional Experience
- Order-intake agent and light ERP for a trading company: orders, quotes and negotiations by email in three languages become proposals a person approves; audited, undoable, partly on Azure; in acceptance testing.
- Modular internal platform (in progress): workflows assembled from small blocks in which AI agents propose decisions and a person accepts or overrides them, every decision traceable.
- Internal CRM and outreach engine: mailbox sync, rule-plus-LLM email classification and AI-drafted replies that a person sends.
- Led the data team (built up to four engineers) and owned the data architecture and its eight production servers, serving pension funds, real estate investors and national statistical offices.
- Project lead of the Connectivity Score: an accessibility score for 38 countries, built over 1TB+ across 13 servers into a production API, now used in a.s.r. real assets' PULSE platform.
- Introduced LLM and OCR document extraction, replacing weeks of manual data entry.
- Technical lead of a three-year Eurostat study on monthly house-price indices from web-scraped listings in 13 EU countries, whose results Eurostat published in a statistical working paper: eight people across two organisations, from scraping and storage on Azure to the regressions.
- Re-architected the data platform from legacy systems to Airflow, Iceberg and FastAPI; weekly collection of 300k records.
- Client-facing throughout, with Eurostat, national statistical offices and pension funds.
- Reproducing a flood simulation's labels from local features (BSc-thesis project): 97% accuracy on the yes/no 20-year label, 73.8% on four risk classes.
- Improved the spatial API's response times tenfold through geospatial query optimisation, resulting in promotion.
- Enterprise expense-declaration software (EmberJS, PHP) under CI/CD and testing.
Publications & Research
Amsterdam · Utrecht · Milan.
Education
Stack
Languages & Soft Skills
Dutch C2 · English C2 · Italian B2/C1 · German B2 · Spanish A2
Multi-year project lead · Client & stakeholder communication · Presenting and defending methodology to technical and senior audiences