Summary
Gergely Gyebrószki is a PhD candidate and mechanical engineer with 11 years of experience blending analytical research and hands-on algorithm development in dynamics, sensor fusion, and robotics. He specializes in theoretical and experimental study of chaotic motion in piecewise linear systems while building practical embedded solutions using C++, Wolfram Mathematica, and STM/Arduino platforms. His industry work includes developing sensor fusion and Electronic Stability Control for wheelchairs and C++ motion-data APIs, rooted in early multi-body train simulation work at Knorr-Bremse. Comfortable moving between mathematical modeling and firmware-level implementation, he brings both rigorous academic insight and product-focused engineering to complex control problems. An underappreciated strength is his long-term curiosity about digital control effects and micro-chaos, which informs novel approaches to robust control and sensing.
11 years of coding experience
4 years of employment as a software developer
Master of Mechanical Engineering, Mechanical Engineering, Excellent with highest honours, Master of Mechanical Engineering, Mechanical Engineering, Excellent with highest honours at Budapest University of Technology and Economics
Hungarian, English