Filip Kilibarda

Research Fellow at Helmholtz-Zentrum Dresden-Rossendorf (HZDR)

Belgrade, Central Serbia
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Summary

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Senior
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Filip Kilibarda is a research-focused engineer with a decade of experience bridging theoretical physics, nanotechnology and computational AI. After a doctorate in nanotechnology and roles at HZDR, he now serves as a Research Fellow at the Nikola Tesla Institute, applying rigorous scientific methods to practical innovation. He brings deep proficiency in Python and C++ and specialises in convolutional neural networks and computer vision, currently exploring generative models. His background in molecular-scale device research informs a unique perspective on hardware-aware computation and data-intensive problem solving. An active coder, he publishes projects like FlexVAE on GitHub that showcase his blend of research-grade rigor and hands-on AI development. Based in Belgrade, he combines academic depth with a pragmatic drive to turn complex theory into working systems.
code10 years of coding experience
bookDoctor rerum naturalium, Physics, Doctor rerum naturalium, Physics at University of Konstanz
bookPhysics, Physics at Technische Universität Dresden
bookMaster of Science - MS, Theoretical and Experimental Physics, Master of Science - MS, Theoretical and Experimental Physics at University of Belgrade, Faculty of Physics
languagesEnglish, Serbian, Russian, German
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Github Skills (89)

shellcode10
pwntools10
linux10
camera10
flash10
image-editing10
exploit10
gnome10
dub10
assembly10
ctf10
qt9
pandas9
cybersecurity9
pygobject9

Programming languages (6)

JavaCSSC++JavaScriptGoPython

Github contributions (5)

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filipkilibarda/gdb_fzf_patch

Apr 2020 - Oct 2020

Contributions:6 commits, 19 pushes, 1 branch in 6 months
Homepage of CTF @ UBC
Contributions:14 pushes in 1 year 3 months
ctfubc
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Filip Kilibarda - Research Fellow at Helmholtz-Zentrum Dresden-Rossendorf (HZDR)