Summary
Tomáš Přinda is a Machine Learning Engineer based in Prague with about nine years of experience building research-grade and production-ready ML systems across companies from startups to Apple. He develops algorithms for next-generation health sensors at Apple and previously tackled hard problems in search, image and NLP at Seznam.cz, combining deep research with pragmatic deployment (Docker, TensorFlow, PyTorch). As a freelancer he delivered bespoke ML solutions—APIs, face recognition and banknote recognition—while teaching and consulting, showing strong end-to-end ownership. Trained in cybernetics and control engineering with honours and currently studying psychology, he uniquely blends systems-level engineering, human behavior insight, and applied ML to bridge product impact and user-centered research.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree, Cybernetics and Control Engineering, Passed with Honours, Master’s Degree, Cybernetics and Control Engineering, Passed with Honours at University of West Bohemia, Pilsen
Bachelor's degree, PSYCHOLOGY, Bachelor's degree, PSYCHOLOGY at Palacký University in Olomouc
Robot Systems Engineering, Robot Systems Engineering at Syddansk Universitet
English, Czech, German