Augur — Energy Price Forecasting
Week-ahead electricity price predictions for the Netherlands. 18+ energy market APIs, XGBoost ML pipeline with online learning, interactive Plotly dashboard.
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ese-bot — Chat with Your Docs
EU-compliant RAG system deployed for engineering students, two academic years running. Natural language document queries with local embeddings, GDPR-safe logging, and full EU AI Act compliance. Built with Weaviate vector search and Mistral AI.
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The work is splitting. The conversations haven't caught up.
Engineering work is decomposing into producing output and validating it. Production is now cheap and fast. Validation is not. An observation from a few years of building with AI agents.
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A small GDPR-safe chatbot
Notes from a side project that stuck around. Observations on location as architecture, why chunking beat embeddings, and how the European AI picture shifted in a year.
I build things at the intersection of sensors, signal processing, and AI: prototypes, feasibility studies, data pipelines, embedded ML. Most useful when a problem spans physics and software. Recent work has included Parkinson's voice biomarkers on an ESP32, week-ahead electricity-price forecasting from 18+ energy APIs, a small EU-only RAG chatbot for my students, and multi-agent review of engineering requirements.
PhD in Electrical Engineering from TU/e, MSc cum laude. Six years at Philips Research on biomedical sensors and patient monitoring, with multiple patents. Ten years teaching and researching at HAN on embedded ML, signal processing, and computer vision. 27 publications, h-index 12, 500+ citations.
Freelance R&D: feasibility studies, prototyping, technical training, EU AI Act guidance. Most at home where physics, signals, and software meet.