Jakub Kajan is a Machine Learning Engineer with 12 years of hands-on experience building and maintaining C++ systems and deploying ML solutions at Siemens Healthineers. Trained in control theory, cybernetics and AI at the Technical University of Košice, he blends classical control/systems thinking with modern deep learning using Python, TensorFlow and Keras for classification, predictive analysis and localization tasks. He progressed from junior C++ developer to a core member of the company’s ML community, shipping production-ready tools and contributing to cross-disciplinary projects. Outside of work he mentors young developers in Python and AI and maintains an active presence on GitHub, driven by a long-term goal to commercialize soft computing techniques. Comfortable across C++, C#, JavaScript and Matlab/Simulink, he is particularly strong at translating research concepts into robust engineering artifacts. Based in Slovakia, he brings a pragmatic, research-informed approach to solving real-world medical and industrial problems.
Contributions:21 commits, 25 pushes, 1 branch in 4 months
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