Summary
Jan Žegklitz is a PhD student and seasoned software developer with 11 years of experience focused on artificial intelligence and nature-inspired black-box optimization for data mining. Based at Czech Technical University in Prague and concurrently developing software at inSophy, he brings strong practical skills in Java, Python, C++, Matlab/Simulink and Linux, alongside Git and LaTeX fluency. His research-driven approach pairs academic rigor with production engineering, exploring novel optimization techniques while continuing to learn languages like Haskell. Comfortable with graphics tools and a background in broadcasting technologies, he blends technical depth with an eye for reproducible, well-documented experiments.
10 years of coding experience
Bachelor's degree, Artificial Intelligence, Bachelor's degree, Artificial Intelligence at Czech Technical University in Prague
maturita, television, radio, broadcasting, filmmaking, maturita, television, radio, broadcasting, filmmaking at Střední průmyslová škola sdělovací techniky Panská