Summary
Zoltan Gyenes is a Robotics Software Engineer with nine years of experience applying advanced motion planning, state estimation, and control theory to autonomous vehicles and industrial automation. He holds a PhD in Robotics (summa cum laude) focused on AGV path planning and collision avoidance, complemented by an MBA in management and finance, which helps him align technical solutions with business needs. His career blends academic research and industry delivery—from developing cost-function-based collision-free planners and lane-keeping for AGVs to Bezier-curve maneuvering for trucks and trailers and LiDAR-based state estimation. Proficient in MATLAB, C/C++, Python, ROS2 and familiar with machine learning, he has led full project lifecycles including deployment of an omnidirectional mobile robot. Based in Budapest, he brings a rare combination of deep theoretical rigor, hands-on systems engineering, and even musical training, reflecting a disciplined, creative approach to complex robotics problems.
9 years of coding experience
7 years of employment as a software developer
PhD, Electrical Engineering, Robotics, Summa cum laude, PhD, Electrical Engineering, Robotics, Summa cum laude at Budapest University of Technology and Economics
Master of Business Administration - MBA, Master of Business Administration - MBA at Eötvös Loránd University
OKJ, Classical Musician, OKJ, Classical Musician at Egressy Beni Conservatory
English, German, Hungarian