🎓 MSc Artificial Intelligence @ Vrije Universiteit Amsterdam 🤖 Machine Learning Engineer | Evolutionary Robotics | LLM Systems
I build reliable, real-world AI systems at the intersection of machine learning, robotics, and generative AI. My work focuses on bridging research and practical deployment, with experience in neuroevolution, computer vision, and LLM-based systems.
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🔬 AI Research & Engineering @ VU CI Group Contributing to the ARIEL robotics platform, improving reproducibility, modularity, and usability for research and education.
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🌿 Machine Learning Engineer @ Olivabot Built computer vision + LLM pipelines for agricultural analytics:
- YOLO-based object detection
- Tree-density estimation from drone imagery
- RAG pipelines for grounded insights and reporting
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🎓 Teaching Assistant @ VU Amsterdam Mentoring students in AI topics, including:
- Reinforcement Learning
- Multi-agent systems
- LLM fine-tuning
Languages & Tools
- Python, NumPy, Pandas, Scikit-learn, Git, Docker, SQL, FastAPI
Machine Learning & AI
- PyTorch, TensorFlow, HuggingFace, Transformers, RAG, LLM systems
Computer Vision & NLP
- YOLO, OpenCV, BERT, Transformer-based models
Cloud & MLOps
- AWS, Azure, Google Cloud, GitHub Actions, containerised workflows
A modular robotics framework for evolutionary robotics and reinforcement learning. My contributions focus on:
- developing, maintaining, testing and documenting
- ensuring reproducible experiments
- extending usability for both researchers and students
Research on robust generalisation in neuroevolution:
- Developed generalist agents for continuous control
- Improved performance across unseen terrains
- Reduced compute vs specialised controllers
I wanted to challenge myself to make the classic Windows game Minesweeper in Python all by myself with only the documentation for help. Turned out better than I expected for only a few hours of work.
I'm always open to collaborating on exciting AI projects or discussing the latest advancements in artificial intelligence. Feel free to reach out!