Michael Niebisch

Michael Niebisch develops algorithms at Carl Zeiss SMT GmbH. After studying environmental engineering and computational science, he transitioned from computer vision research at Friedrich-Schiller-Universität Jena to machine learning roles in the startup world.

Today, he focuses on modernizing aging legacy systems. He uses large language models to tackle complex code translations, improve debugging, and build efficient workflows when out-of-the-box AI solutions fall short.