Konstantinos Barmpas is a machine learning researcher and engineer with eight years of experience bridging academic research and product-focused ML engineering. Currently a Postdoctoral Research Associate at Imperial College London and ML Engineer at Cogitat, he completed a PhD in Computer Science (ML/AI) after MEng studies at ETH Zürich and Imperial College. His background spans applied research, data science for energy systems, and hands-on software development—he founded an Android startup and delivered ML internships and mentorships that highlight both product and pedagogical instincts. Known for moving models from theory to production, he combines rigorous experimental methods with practical engineering to tackle real-world problems in industry and academia. An interesting facet of his profile is the blend of Swiss technical training and London research leadership, which informs a pragmatic, internationally grounded approach to ML systems.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science (Machine Learning / Artificial Intelligence), Doctor of Philosophy - PhD Computer Science (Machine Learning / Artificial Intelligence) at Imperial College London
Master of Engineering - M.Eng. (Year Abroad) Information Technology and Electrical Engineering, Master of Engineering - M.Eng. (Year Abroad) Information Technology and Electrical Engineering at ETH Zürich
Bachelor’s Degree Electrical And Computer Engineering, Bachelor’s Degree Electrical And Computer Engineering at National Technical University of Athens
Project of Udacity's "Android Basics Nanodegree". A Nanodegree program by Google specifically to support aspiring Android Developers with no programming experience. Its goal is to ensure graduates get the real-world skills to actually start building Android apps
Contributions:2 PRs, 8 pushes, 3 branches in 3 years 4 months
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