Summary
Alexander Stante is a solutions architect and software engineer with 15 years' experience specializing in E/E architecture and communication design for automotive systems, currently leading PREEvision deployment and technical strategy at VECTOR Informatik. He combines hands-on development of customer-specific Java extensions and technical proposals with team leadership of application engineers, ensuring AUTOSAR-compliant modeling and scalable tool chains. With a research background at Fraunhofer ESK, he brings deep expertise in model-based design (UML/SysML/EAST-ADL), code generation, and embedded C/C++ software for Linux, FreeRTOS and AUTOSAR. He also develops deep learning models in PyTorch and TensorFlow, applying CNNs, RNNs and GANs—an uncommon blend of automotive systems engineering and modern ML practice. Based in Munich, he is adept at translating complex domain requirements into practical, automated tooling and customer-specific solutions.
16 years of coding experience
1 year of employment as a software developer
Deep Learning Nanodegree Computer Science, Deep Learning Nanodegree Computer Science at Udacity
Dipl.-Inf. Univ. Computer Science, Dipl.-Inf. Univ. Computer Science at University of Augsburg