I'm a Data Engineer at Deloitte, working on cloud-based data platforms and big data pipelines. My background spans machine learning, computer vision, and network traffic analysis with graph neural networks.
Experience
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Building cloud-based data platforms in the Platform Development & Integration practice, focused primarily on Databricks.
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Analyzed European research-network traffic at scale using PySpark and a self-trained Graph Neural Network, surfacing usage patterns across the pan-European research and education network.
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Built time-series ML models on an Azure Data Lake using PySpark; developed internal data-analytics libraries and prototyped ML models that later went to production.
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Built a computer-vision pipeline for embedded devices on NVIDIA DeepStream, from data streaming through training to inference — later used in production.
Skills
Certifications
Education
- MSc Computer Science, Data Science (cum laude) — University of Twente
- BSc Technical Computer Science (cum laude) — University of Twente
Notable
- IEEE publication: Network Traffic Characterization in GÉANT's Backbone Network using Graph Neural Networks, IEEE/IFIP NOMS 2026
- Dutch national team, European Cybersecurity Challenge (2020)