Summary
Nathan Segers is a Lecturer and practitioner with 9 years of experience blending MLOps, cloud-native infrastructure and spatial/MR design at Howest University of Applied Sciences in Belgium. He leads the XR Developer Track and coordinates research-to-thesis proof-of-concept projects while teaching practical courses on Kubernetes, Docker, Azure AI and Unity for remote microdegrees. Equally at home automating AI training and deployment pipelines as he is designing 3D user experiences, he bridges backend MLOps rigor with creative mixed-reality workflows. His background includes founding a startup (SpectralBot) and hands-on research comparing major cloud AI platforms, giving him uncommon perspective on portability and production readiness of AI systems. Passionate about education, he also has a track record of teaching computing to children, which informs his clear, practice-focused pedagogy.
9 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Howest - Bachelor Multimedia and Creative Technologies
Latin + Modern Languages, Latin + Modern Languages at DVM humaniora Aalst
Dutch, English, French, German, Spanish