Volker Beutner

Volker Beutner has a diverse work experience in various roles and industries. Volker is currently working as a Senior Machine Learning Engineer at Endpoint since July 2022. Prior to this, they worked as a Machine Learning Engineer at General Atomics from February 2020 to July 2022.

Volker also has experience as a Computer System Engineer at ASML, where they supported the performance and availability of ASML's EUV lithography light source systems from April 2017 to February 2020. In this role, they developed machine learning pipelines and provided technical support to internal and external customers.

Before ASML, Volker worked as a Graduate Fellow at Fraunhofer USA - Center for Sustainable Energy Systems CSE from July 2016 to April 2017, where they focused on Python programming and utilized various libraries for data analysis.

Volker also has experience as a Graduate Research Assistant at the University of Georgia, where they worked on Python programming for data analysis and conducted research in the field of linear and nonlinear optics from August 2013 to June 2016. Additionally, they served as a Graduate Teaching Assistant during the same period.

Volker's earlier work experience includes a role as a Laboratory Tech and IT support at GMT Gummi-Metall-Technik GmbH from June 2011 to July 2013. In this position, they were responsible for statistical process control, lab testing, and designing and running tests.

Overall, Volker Beutner has gained expertise in machine learning, computer systems engineering, Python programming, and optics through their various work experiences.

Volker Beutner completed their education in the field of physics. Volker obtained a Master's Degree in Physics from the University of Georgia - Franklin College of Arts and Sciences, which they pursued from 2013 to 2016. Prior to that, they earned a Bachelor's Degree in Physics from the University of West Georgia, where they studied from 2010 to 2013. In addition to their formal education, Volker Beutner obtained a certification named "JavaScript: Enhancing the DOM" from LinkedIn in August 2021.