András Balogh
Teaching Assistant at University of Szeged
Szeged, Hungary
Summary
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Top SchoolAndrás Balogh is a PhD student and teaching assistant at the University of Szeged with eight years of experience at the intersection of machine learning, medical image processing, and industrial AI. He researches interpretability, safety, and robustness in deep learning—focusing on learned representations and their similarities—while teaching core algorithms and machine learning courses at undergraduate and MSc levels. His industry experience includes developing predictive maintenance and fault-detection models at Bosch, delivering production-ready AI software and mentoring small teams. Comfortable moving between research and applied R&D, he seeks collaborations or industrial research roles where explainability and reliability matter. A practical researcher, he blends hands-on production deployment experience with a deep academic focus on trustworthy computer vision systems.
7 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Szeged
English, French, Hungarian
Github Skills (5)
java9
data-structures8
algorithm7
algorithms7
sorting-algorithms5
Programming languages (2)
Github contributions (5)
Erasiel/Alkstat
Oct 2018 - Aug 2019
Contributions:12 commits, 9 pushes, 1 branch in 10 months
Erasiel/algds-eng
Feb 2025 - Apr 2025
Contributions:37 pushes in 1 month
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