Experience

Aug 2025–present
orq.ai AI Research Engineer
  • AI agent infrastructure, LLM evaluation, prompt optimization, observability tooling
Sep 2024–present
MLOps Community Amsterdam Chapter Lead / Organiser
  • Run the Amsterdam chapter: speaker curation, sponsor partnerships, quarterly meetups
May 2024–Jul 2025
Sytac → ING Senior Consultant / Senior AI Engineer
  • Tech lead on MLOps in Global Financial Crime & Fraud Prevention — V2 release, Airflow DAG parameterization across countries
  • Detection & forecasting system for reliability events from Track-and-Trace logs (1TB out-of-memory processing with Polars)
  • Rewrote RAG ingestion pipeline for sustainability peer-review app — 5× faster, better extraction quality
  • Sytac internal: LLM-based extraction for the resume app; simplified Slackbot by querying Notion search directly, dropping the vector DB
  • Ran day-long hackathons and education sessions on testing, pre-commit, and merging strategy; mentored junior Python engineers
Jul 2021–May 2024
ABN AMRO Full Stack Data Scientist — Global Markets
  • Designed and led platform migration from IaaS VMs to PaaS (Azure Data Factory, Databricks, Data Lake)
  • Built real-time streaming framework on Spark Structured Streaming with Medallion architecture
  • Bond origination interest prediction — matched investor parties to new issuances
Oct 2019–Jun 2021
ABN AMRO Data Scientist — Chief Architecture & Data Management
  • Mortgage condition assessment from 5 photos — multi-ResNet feeding into BERT
  • Co-authored data lake metadata-generation framework
  • Piloted GAN-based synthetic data for privacy-preserving analytics; managed two collaborators
  • Drove data-science process improvements (versioning, peer review) across internal ML platform
Mar 2019–Oct 2019
ABN AMRO Thesis Intern — Data Science
  • Master's thesis research on GANs for synthetic tabular data — evaluating whether generated data preserves distributions well enough to sidestep GDPR
Sep 2019–Nov 2021
OneTwoModel CTO & Co-founder
  • Co-founded startup building products for the modelling industry; split value-prop / product-dev responsibility
  • Stack: AWS (ECS, EC2), Airflow, Docker, Keras/TensorFlow, NLP tokenization & word embeddings
Sep 2018–Mar 2019
TAPP Data Scientist
  • Hierarchical product classification from receipt descriptions (Keras + NLP) — replaced manual labelling
  • Time-series anomaly detection on live data streams; full pipeline from ingestion to analytics

Education

2017–2019
Radboud University MSc Data Science — ML in Practice, Medical Imaging, Natural Computing, Computational Cognitive Neuroscience
2013–2017
Radboud University BSc Computing Science — modeling, databases, calculus, linear algebra, algorithms

Certifications

  • 2022 Microsoft Certified: Power BI Data Analyst Associate
  • 2022 Microsoft Certified: Azure AI Fundamentals
  • 2021 Microsoft Certified: Azure Fundamentals

Publications