Music BPM Prediction
Top 5% — 131 / 2,581Predicting song tempo from audio features using gradient boosting and music-theory-informed feature engineering.
About Me
I'm a DevOps and Data Engineer at Rabobank, building and operating a data factory that handles market and financial data.
My work bridges platform engineering and data engineering, from CI/CD and infrastructure-as-code to reliable data pipelines and observability, making complex systems reproducible, scalable, and trustworthy.
I hold 2 degrees in CS and primarily focus on Python (big data, machine learning), with hands-on research experience in modern AI architectures.
Education
MSc Computer Science
Universiteit Leiden
Data Science & AI · 2024–2025
BSc Computer Science
Vrije Universiteit Amsterdam
Minor: Data Science · 2020–2023
Technical Skills
Cloud & Data
Machine Learning
AI
Languages
Experience
Oct 2025 – Present
Data Engineer
Rabobank — W&R Markets and Treasury Tribe
- Build and operate cloud and DevOps infrastructure on Azure and Databricks.
- Design and maintain reliable data pipelines with a focus on observability, lineage, and recovery.
- Lead ML engineering on an innovation pilot to automate operational tasks end-to-end.
- Own non-functional concerns — reliability, security, cost, and disaster recovery.
Kaggle Projects
A selection of Kaggle competition entries.
Loan Payback Prediction
Top 4% — 172 / 3,724Binary classification for financial risk using an ensemble of XGBoost, LightGBM, and CatBoost with credit and payment history features.
Road Accident Risk
Top 8% — 313 / 4,082Ensemble model predicting accident severity using temporal and weather interaction features, with a containerised training pipeline.
Bank Marketing
Top 17% — 576 / 3,367Customer response prediction built in 7 days using Optuna-tuned classifiers and YAML-driven configuration for rapid iteration.