Markus Kängsepp
Junior Research Fellow Of Machine Learning at University of Tartu
Estonia
Summary
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Senior🎓
Top SchoolMarkus Kängsepp is a machine learning researcher and PhD candidate at the University of Tartu with 12 years of experience blending data mining, deep learning, and teaching. As a Junior Research Fellow he develops applied ML methods while also instructing Introduction to Data Science practice sessions, bridging research and hands-on student guidance. His academic trajectory—BSc, MSc and ongoing PhD in Artificial Intelligence from the same institution—reflects deep domain focus and continuity in Estonia's research ecosystem. Markus is particularly interested in extracting actionable insight from complex data, and his dual role as educator-researcher suggests strong communication skills alongside technical rigor.
12 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Tartu
Stackoverflow
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Github Skills (9)
segmentation2
surround2
depth-estimation2
machine-translation1
computer-vision1
pytorch1
nlp1
instance-segmentation1
translation1
Programming languages (2)
Github contributions (5)
LauraRuusmann/AA-evolving-images
Dec 2017 - Jan 2018
Contributions:19 commits, 18 pushes in 27 days
dirichletcal/experiments_dnn
Oct 2019 - Sep 2021
Contributions:6 commits, 5 pushes, 1 branch in 1 year 11 months
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