Summary
Viktor Korladinov is a combinatorial optimization Ph.D. candidate and scientific researcher based in Prague with eight years of hands-on experience across Python, JavaScript, Java, and C. He currently focuses on mathematical optimization at the Czech Institute of Informatics, Robotics and Cybernetics after researching quantitative reasoning and numeracy in ML models at Czech Technical University. Viktor blends deep academic training in AI and cybersecurity with practical industry exposure, including an engineering internship at Broadcom. Known for tackling hard discrete problems, he brings a research-driven approach to applied optimization and model evaluation, often connecting theoretical insight with experimental ML work.
7 years of coding experience
Doctor's Degree, Computer Science, Doctor's Degree, Computer Science at Czech Technical University in Prague
Engineer's degree, Cybersecurity, Engineer's degree, Cybersecurity at Czech Technical University in Prague, Faculty of Civil Engineering
High School Diploma, Computer Programming, High School Diploma, Computer Programming at Gymnázium Arabská
English, Bulgarian, Czech