Michael André

Michael André has a strong background in software engineering and machine learning, with experience in various roles and companies. Michael is currently working as a Software Engineer at Recorded Future since December 2022. Prior to that, they worked as a Machine Learning Engineer at Zenseact from August 2020 to December 2022. Michael also worked at Kapsch TrafficCom AG as a Machine Learning Engineer from January 2019 to August 2020, where they focused on vehicle tolling and vehicle classification. Before that, they worked at Veoneer as a Software Developer, specializing in machine learning and ADAS (Advanced Driver Assistance Systems). Michael also completed thesis work at Veoneer on active learning techniques for CNNs. Earlier in their career, they gained experience as a Software Developer at Autoliv and as a Lab Assistant and Mathematics Teacher at Linköping University. Michael also worked as a Software Development Consultant at Talent Eye, where they developed a web application using SQL, JavaScript, and C# for filtering a customer database. Michael started their career as an Administrator at Transportstyrelsen. Overall, Michael André has a diverse range of experience in software engineering, machine learning, and research.

Michael André attended Linköping University from 2013 to 2016, where they pursued a Bachelor of Science degree in Computer Science. After completing their undergraduate studies, they went on to pursue a Master of Science degree in Artificial Intelligence and Machine Learning at Linköping University from 2016 to 2018.