AI Platform Engineer
Dataport AöR
Maintaining and expanding an enterprise AI platform based on Kubernetes.
I studied Artificial Intelligence and Data Science at Radboud Universiteit Nijmegen in the Netherlands. My aim is to help building language processing systems that allow humans to focus on what they're good at, understanding and interacting with language, while not having to focus anymore on what they're bad at, sifting through a vast amount of content with no clear picture of what is out there.
Maintaining and expanding an enterprise AI platform based on Kubernetes.
Understanding the ins and outs of a large public IT company.
Content analysis and recommendation systems for audio data.
How can we use AI and NLP to improve the implementation of evidence-based medicine in clinical practice?
Automatically detecting neuromuscular disorder in ultrasound images. A description of the project can be found on the AI for Health page.
Investigated the linguistic skills of multiple neural summarization systems and how they affect the factual correctness of generated summaries. Maya Sappelli, Martha Larson and I published a paper in Eval4NLP on the subject.
I worked on neural audio and text segmentation for the BNR SmartRadio app. Oberon Berlage, David Graus and I published an ICASSP paper that shows how audio features can help to find better clips in radio content.
For the course Text and Multimedia Mining. Grading coursework, technical support for students. I designed a homework assignment centering on text analytics on Twitter and offered a tutorial on best practices for text classification.
Data Science
Web and Language Interaction
Specialisation modules: computational linguistics, artificial intelligence, computer science, cognitive psychology and neuroscience. Bachelor's thesis on document categorization in the legal domain.