
Transforming complex data into elegant solutions. I build intelligent systems at the intersection of machine learning, data engineering, and applied AI.

I'm Jonas — a third-year Data Science & AI student at Breda University of Applied Sciences. I'm passionate about building intelligent systems that solve real-world problems — from computer vision pipelines to full-stack AI platforms.
Across 9+ projects I've worked with deep learning, NLP, reinforcement learning, computer vision, and full-stack development. I thrive at the intersection of research and engineering — turning raw data into deployable, impactful solutions.
Statistical modeling, deep learning, NLP, and computer vision. From BERTje to U-Net to reinforcement learning agents.
ETL pipelines, REST APIs, Docker deployments, and cloud infrastructure on Azure. Building systems that scale.
Full-stack AI platforms — from LLM-powered recruitment tools to smart campus analytics. End-to-end from prototype to production.
Predictive analytics system forecasting campus occupancy at BUas. Time series ML models integrating data from cameras, WiFi, and scheduling systems. REST API with real-time endpoints feeding dashboards and automated staff planning.
AI-powered recruitment platform for Dutch businesses. Uses GPT-4o for bias detection in job postings, CV parsing, ESCO-based skill matching, and EU AI Act compliance. Includes an ML Judge framework with 80 test cases for systematic prompt evaluation.
Deep learning image segmentation pipeline analyzing plant root images using a U-Net CNN. Features CLI, web interface, and REST API — deployed both on-premise and on Azure Container Apps with full CI/CD.
Computer vision + robotics pipeline for the Netherlands Plant Eco-phenotyping Centre. Root segmentation (F1: 0.85), root system architecture extraction, and reinforcement learning agents controlling a liquid handling robot.
NLP pipeline for Dutch language emotion classification. Transcribes video/audio via Whisper, classifies 7 emotions using fine-tuned BERTje/RoBERTa. Achieved 84.7% accuracy with SMOTE-balanced datasets.
ML model forecasting road accident risk levels for Breda. Built with Streamlit and designed Google Maps integration concept in Figma.
Deep learning image classifier with custom dataset. Included market research, risk assessment, and a user-centered prototype application.
Data analysis and ML pipeline for NAC Breda football club. Position classification, player valuation, and 20+ analytical EDA questions.
Interactive dashboard monitoring UN Sustainable Development Goals progress with data-driven insights for policymakers.
Mixed-method research study on AI impact for Dutch small/medium enterprises. Survey design, statistical analysis, policy paper, and conference poster.
Building predictive occupancy system for BUas — time series forecasting, APIs, and automated staff planning.
Full-semester specialisation project — LLM-powered bias detection, ESCO skill matching, MLflow evaluation.
Breda University of Applied Sciences · 3rd year, 9 projects spanning ML, NLP, CV, and data engineering.
Whether you have a data challenge, a collaboration idea, or just want to connect — I'd love to hear from you.