Tudor Dascalu is a data scientist based in Copenhagen with nine years of experience applying AI and scalable backend systems to real-world problems across healthcare and consumer platforms. He combines academic rigor from a PhD fellowship in AI-driven dental imaging with hands-on engineering—building microservices, AWS deployments, and recommendation systems used by millions. Tudor has a strong track record translating clinical problems into deployable ML solutions, including bite registration and endodontic outcome prediction, and has taught data science and image processing at university level. Known for curiosity and a collaborative mindset, he thrives at the intersection of research and production engineering, often surfacing practical insights that bridge clinicians’ needs and robust software delivery.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, IT & Cognition, 12, Master of Science - MS, IT & Cognition, 12 at Københavns Universitet - University of Copenhagen
Bachelor's degree, Computer Science, 12, Bachelor's degree, Computer Science, 12 at KEA - Københavns Erhvervsakademi
Computer Science, Computer Science at Deakin University
Contributions:1 PR, 3 pushes, 2 branches in 2 years
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