Resume
Download PDFExperience
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
- 2019 On the Generation and Evaluation of Tabular Data using GANs Master's thesis, Radboud University
- 2020 Automated Product Recognition for Hospitality Industry Insights Blog / write-up