Professional Experience


Marek began exploring Machine Learning in high school and participated in several competitions, including those sponsored by NASA, Harvard, and DARPA, with excellent results. He was invited to study – without taking entrance exams – at the most prestigious university in Poland on an exclusive track for exceptional students.

Since graduation, Marek has been working on state-of-the-art research. He was involved in inventing the system that diagnoses problems with Ubuntu packages and in improving the detection accuracy of breast cancer using Deep Learning, each time leading 40 highly skilled Machine Learning Engineers for over 6 months.


NASA noticed his unique skills and asked him to manage a project aiming to improve the International Space Station rotation algorithm that would allow them to collect enough power from solar panels while preventing them from overheating. The project was successful and generated a huge ROI for NASA. Marek has been honored by multiple Harvard professors and the Director of Advanced Exploration Systems at NASA, who signed an official Letter of Recommendation. Since his first summer of university coursework, Marek has participated in four internships at NVIDIA HQ and Microsoft HQ


Marek has been working for one year as a Senior Deep Learning Research Engineer at NVIDIA Switzerland, focusing on improving algorithms for self-driving cars and data centers for external clients, including Tesla, Daimler, and Facebook. After the tenure at NVIDIA, he has co-founded Sigmoidal where he has been a Managing Partner and Head of Artificial Intelligence and as a Partner of the company, creating a categorization of online news for a London’s investment company, and also automating the commercial due-diligence project using Machine Learning for market leader Kroll corporation in New York. 


After a successful exit of Sigmoidal in 2019, he has set up a company called AI Revolution specialized in education & consulting in natural language processing and predictive analysis. The company’s goal is to reduce the weekly average worktime of humans to 20h, by implementing AI-powered algorithms in companies in variety of industries.