Niklas Gustafsson is a Senior Data Scientist with a decade of hands-on experience building deep learning systems for autonomous driving and healthcare, most recently at Zenseact and now at Neko Health. He combines a strong academic foundation from Chalmers and Georgia Tech with practical expertise in semi-supervised 3D object detection, having authored a thesis that improved detection and spatial estimates via self-supervision and tracking-based pseudo-labeling. A prolific coder and lifelong tinkerer, he contributes hobby projects on GitHub and thrives in collaborative teams where curiosity, strong work ethic, and continuous learning drive impact. Fluent in both research and production workflows, he bridges model innovation and deployment to deliver measurable performance gains in real-world systems.
10 years of coding experience
6 years of employment as a software developer
Computer Science, Computer Science at Georgia Institute of Technology
Civilingenjörsexamen, Datateknik, Civilingenjörsexamen, Datateknik at Chalmers tekniska högskola
Russian, Russian at Göteborgs universitet
Gymnasieexamen, IT Programmet, Gymnasieexamen, IT Programmet at John Bauergymnasiet Värnamo
Optional static typing for Python 3 and 2 (PEP 484)
Contributions:25 pushes, 3 branches in 4 months
mypystatic-typingpythonpeppython-3
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