SOTEC
Daniel Hartmann is a Machine Learning Engineer at SOTEC Software Entwicklungs GmbH + Co Mikrocomputertechnik KG since June 2020. Prior experience includes a role as a Master-Student at ElringKlinger, focusing on AI-based design of thermoplastic components, and as a Werkstudent at Automotive Lighting, where project management for LED modules was undertaken. Daniel holds a Master's degree in Mechatronics, Robotics, and Automation Technology from Reutlingen University, as well as Master's studies in Computer and Information Science at Hanyang University. An academic background also includes a Bachelor's degree in Biomedical Engineering from Technische Hochschule Ulm and a Bachelor's degree in Mechatronics, Robotics, and Automation Technology from Seoul National University of Science and Technology.
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SOTEC
As a leading Google Cloud Partner we help clients building digital solutions that empower their businesses with the benefits of IoT, ML and Cloud Technology. From specialized hardware to end-to-end platforms and architectures. Deep practical expertise in IoT, Industrial Automation, Manufacturing, Retail and Cloud Computing enables us to deliver our clients top notch solutions fitting their individual needs. Our solution teams consists of engineers, computer scientists, mathematicians, business analysts, UI designers, hardware and software experts. Combining these different perspectives on a customer challenge sets the foundation for building modern valuable solutions, that will master current and future requirements. Want to find out more? Get in touch.