Quentin Adatte

I am a recent ETH Zurich graduate in Computer Science, with a specialization in Machine Learning and a strong focus on applied research. I am passionate about solving real-world problems using AI, data analysis, and modern machine learning techniques.

Throughout my academic journey, I worked on projects involving medical imaging, clinical trial prediction, ECG analysis, volumetric reconstruction, sentiment analysis, and more. I gained hands-on experience with deep learning frameworks (PyTorch, TensorFlow), data science tools (Pandas, Scikit-learn, NeuroKit2), and specialized models such as U-Net, Transformers, and Neural Radiance Fields.

I am highly motivated, fast-learning, and dedicated to delivering quality work. My goal is to grow as a machine learning practitioner by contributing to impactful projects while constantly improving my skills.

If you are looking for someone reliable, technically solid, and eager to learn, I would be happy to collaborate with you on your next project.