Summary
Martin Holeček is a seasoned AI/ML leader and software engineer, currently Head of Intraday Algo at ČEZ, with more than 10 years of cross-functional experience spanning research, product, and operations. He previously led AI strategy as Head of AI at Amp X and drove advanced time-series modeling and ML best practices across the team. Notable for turning research into production, he developed a novel neural network model at Rossum for faster data extraction and published work at ICDAR conferences and journals. He architected and delivered a medically certified, GPU-enabled PACS viewer deployed to over 50 hospitals, while designing automated CI/CD pipelines and scalable backend systems. His technical breadth covers Python, C++, NLP, computer vision, timeseries, and ML engineering, with hands-on work in TensorFlow/Keras, scikit-learn, and modern MLOps tooling. Based in the Prague metropolitan area, he combines rigorous academic training (PhD in Numerical Mathematics; Master's in Mathematical Modelling) with a collaborative leadership style focused on automation and customer value.
10 years of coding experience
13 years of employment as a software developer
PhD, Numerical mathematics, PhD, Numerical mathematics at Charles University in Prague
Master's degree, 1 year erasmus study, Master's degree, 1 year erasmus study at Università di Pisa
Czech, English, German