Kilian Diederix

As a Master’s student in Artificial Intelligence in Health at VU Amsterdam, I am passionate about applying AI techniques to improve health and quality of life. My degree program covers topics such as machine learning, natural language processing, computer vision, and data mining, and how they can be used to solve health-related problems.

I have also gained practical experience in data annotation, which is essential for training and evaluating AI models. I have worked as a data annotator for VU Amsterdam and Valve Corporation, where I annotated data sets for sentiment analysis, anti-cheating software, and other research purposes. I have used tools such as Python, Large Language Models, and search algorithms to perform data annotation tasks efficiently and accurately. I enjoy learning new skills and technologies, and I am always eager to explore new domains and challenges in AI.