Akos Kungl
Wissenschaftlicher Mitarbeiter Data Scientist
Darmstadt, Hesse, Germany
Summary
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Senior🎓
Top SchoolAkos Kungl is a data scientist and researcher with 10 years of experience blending machine learning, computational neuroscience, and physics, currently developing metrology software and measurement evaluation for ZEISS semiconductor lithography. He earned a summa cum laude PhD from Heidelberg University where he built brain-inspired algorithms for neuromorphic hardware and co-won the First Prize at the 2019 International Collegiate Competition for Brain-Inspired Computing. Akos translates cross-disciplinary research into reliable production software, contributing to the design and control logic of cutting-edge metrology machines. Known for curiosity-driven problem solving, he pairs deep theoretical grounding with hands-on engineering in optics and measurement systems. He is seeking new R&D challenges where physics-informed ML and precision instrumentation intersect.
10 years of coding experience
5 years of employment as a software developer
Doctoral Studies --- Phd, Physics, summa cum laude, 1.0 (German score), Doctoral Studies --- Phd, Physics, summa cum laude, 1.0 (German score) at Heidelberg University
English, German, Hungarian, French
Github Skills (6)
brain-computer-interface10
ord10
spinnaker10
machine-learning8
backpropagation6
javascript3
Programming languages (3)
Github contributions (5)
afkungl/pseudoBackprop
Sep 2020 - Apr 2021
Project to compare vanilla backprop, feedback alignment and pseudo backpropagation on a simple example
Contributions:68 PRs, 113 pushes, 68 branches in 6 months
feedback-alignmentbackpropagationjavascriptalignmentfeedback
afkungl/python_example_package
May 2024 - Jul 2024
A basic python package with sensible structure, logging and testing.
Contributions:18 PRs, 25 pushes, 19 branches in 1 month
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