Summary
Kis Balázs is a machine learning engineer based in Stuttgart with nine years of hands-on experience building ML systems, embedded software, and high-performance tooling for the automotive domain. At Porsche Engineering he moved from junior software roles—developing in-house testing frameworks, backend tooling, and a CAN network simulator—to applied ML work as an MSc student and current engineer. He combines interests across operating systems, performance computing, and computer vision, favoring learning-by-doing and pragmatic solutions that bridge hardware and software. Known for a curiosity-driven approach and a bias for good ideas, he thrives on turning research concepts into reliable, production-capable components for automotive SW/HW integration.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Technical University of Cluj Napoca
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Stuttgart
English, Romanian, Hungarian