Gabriel Oexle

Gabriel Oexle has worked at multiple companies in various roles throughout their career. Gabriel began as a Deep Learning Researcher at AssemblyAI in April 2022. Prior to that, they worked as a Machine Learning Engineer at Bragi from March 2020 to April 2022. Gabriel also gained experience as a Working Student Data Science at Alexander Thamm GmbH from February 2019 to June 2019. Before that, they worked as a Student Assistant at LMU - Ludwig-Maximilians-Universität München from October 2016 to February 2019. Gabriel also interned at BMW Group from June 2017 to November 2017. Gabriel began their career as a Working Student and Intern at Bosch Sicherheitssysteme GmbH from April 2013 to June 2015, where they worked on various projects including integration of a compression component in C++, development of an automated system test environment in C#, and bug analysis and fixing of an ASP.

Gabriel Oexle completed their Bachelor's degree in Mathematics from Ludwig-Maximilians-Universität München from 2013 to 2016. Gabriel then pursued their Master's degree in Mathematics from the same university from 2016 to 2019. In 2015, Gabriel also took part in an Erasmus program at the University of Oslo for a brief period to study Mathematics.

Aside from their formal education, Gabriel Oexle has obtained various certifications in the field of Artificial Intelligence and related areas. Gabriel completed several courses on Coursera, including "AI For Medical Treatment", "AI for Medical Prognosis", "AI for Medicine Specialization", "Apply Generative Adversarial Networks (GANs)", "Build Better Generative Adversarial Networks (GANs)", "Generative Adversarial Networks (GANs) Specialization", "AI for Medical Diagnosis", "Build Basic Generative Adversarial Networks (GANs)", and "Convolutional Neural Networks". Gabriel also obtained a Deep Learning Engineer certification from Workera.ai. These certifications were obtained between 2020 and 2021, with the most recent ones being acquired in December 2021.