Stefan Smarzly
Abschluss: Master of Science (M.Sc.), Technische Universität München
Munich, Deutschland
Werdegang
Berufserfahrung von Stefan Smarzly
Member of the Chromosome team (Dynamic Components GmbH now) building a data-centric, adaptive and solid framework for Industrial Automation and Automotive Software. • Integrate Real-time support based on RT micro kernel Xenomai • Develop automotive scenarios for Chromosome involving RPis, cameras and proximity sensors • Evaluate and enhance OpenAVB with multi stream support for i210 AVB ethernet
• Develop a Data Quality component to analyse and identify automatically equivalent product classifiers and product information • Design and prototype a log file analysis tool based on ElasticSearch
Ausbildung von Stefan Smarzly
2014 - 2016
Computer Science
Technische Universität München
Robotics and Artificial Intelligence, Distributed (P2P) Networks and Security
2013 - 2014
Robotics and Artifical Intelligence
KTH Royal Institute of Technology
2011 - 2014
Computer Science
Technische Universität München
Robotics and Artificial Intelligence, Distributed (P2P) Networks and Security
Sprachen
Deutsch
Muttersprache
Englisch
Fließend
Französisch
Gut