Alaeddin Abdellaoui

Machine Learning Engineer at PreciTaste

Alaeddin Abdellaoui has worked in a variety of roles since 2014. In that year, they were a member of AIESEC in Germany and was responsible for identifying and recruiting motivated individuals to join the local committee. Alaeddin also worked as a customer service/passenger service agent for Lufthansa and an EDV-beratung for Technische Informations- und Kommunikationsdienste der Universität Stuttgart. In 2017, they were a Praktikant at AUDI AG, where they designed CAD models of sensors and engine control units. From 2019 to 2021, they worked at TWT GmbH as a Werkstudent, where they implemented control algorithms using an Arduino microcontroller and developed control algorithms using Python, Raspberry Pi, and a variety of sensors and actuators. During 2021, they were a Master Thesis Student at Agile Robots AG, where they completed their Master Thesis titled "Eye-to-Hand Visual Servoing based on Deep Learning from Synthetic Data". Finally, they are currently employed at PreciTaste as a Machine Learning Engineer, where they are developing deep learning algorithms and models for computer vision systems, specifically focusing on object detection, multi-object tracking, and action recognition in videos, utilizing edge devices.

Alaeddin Abdellaoui's education history includes a Master of Science in Robotics, Cognition, and Intelligence from the Technical University of Munich from 2020 to 2022, a Bachelor's degree in Luft- und Raumfahrttechnik, Aeronautik und Astronautik from the University of Stuttgart from 2014 to 2019, a Deutsch niveau c1 from Deutsch Kolleg Stuttgart in 2014, and a Baccalauréat in Baccalauréat technique from Lycée secondaire Ouled Haffouz from 2009 to 2013. Alaeddin also holds certifications from the TestDaF-Institut for the zeugnis TestDaF obtained in July 2014 and from Udacity for EU Scholarship - Android Development for Beginners obtained in January 2017.

Location

Munich, Germany

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PreciTaste

PreciTaste specializes in the fields of artificial intelligence, product recognition, and food applications.


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51-200

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