Albert Glensk is a systems and infrastructure engineer with a decade of experience building and operating research-grade computing environments at the Swiss Data Science Center and EPFL. With a strong physics and applied engineering background (including a BSc and diploma) and PhD-level training in computer science, he bridges scientific research needs and robust production infrastructure. He has a track record in academic research roles and hands-on tutoring and internships that give him a pragmatic, experimental approach to problem solving. Based in Lausanne, he focuses on scalable, reproducible data science platforms and tooling that serve interdisciplinary teams. Notably, his career blends deep technical rigour from physics research with practical systems engineering for modern data-driven projects.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BSc, Physics, 1st class Honorus, Double Diploma, Bachelor of Science - BSc, Physics, 1st class Honorus, Double Diploma at Nottingham Trent University
Diploma, Engineering Physics/Applied Physics, 1.8, Diploma, Engineering Physics/Applied Physics, 1.8 at Munich University of Applied Sciences
Apprenticeship, Tax Law/Taxation, Apprenticeship, Tax Law/Taxation at Rödl und Partner & Karl-Heinz Keuler
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Max-Planck-Institut für Eisenforschung GmbH
Contributions:12 commits, 11 pushes, 1 branch in 3 months
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Albert Glensk - System Engineer at Swiss Data Science Center