Max Fischer

Max Fischer has a comprehensive work experience in various roles.

Max is currently employed as a Machine Learning Engineer at xorlab since April 2022.

Before that, they worked at Combient Mix as a Data Scientist from February 2020 to April 2022. In this role, they implemented and trained image segmentation models and co-authored a peer-reviewed conference paper on the topic.

Prior to that, Max served as an Associate Data Scientist at Combient Mix from August 2019 to February 2020, where they gained experience in the field.

Max also completed an Internship and Master Thesis on AI & Machine Learning at King from January 2019 to June 2019. During this time, they utilized deep reinforcement learning techniques for investigating the performance of Proximal Policy Optimization.

Max also had an Internship at Result in 2017, where they led a project to enhance product communication, produced a video series, and conducted a global competitive analysis.

Additionally, Max completed internships at FitnessCollection AB in 2016 and LinTek in 2014, where they gained practical experience.

Earlier in their career, Max worked as a Sales Representative at Falco AB from June 2013 to July 2014 and as a Sales Leader and Sales Representative at Telenor Sverige AB from January 2012 to December 2012.

Their earliest work experience includes a sales role as a Door Salesman from March 2007 to July 2011.

Max Fischer has a diverse education history. From 2014 to 2019, Max attended Linköping University where they focused on Industriell ekonomi - Machine learning and artificial intelligence. In 2016, they participated in an exchange program at Hanyang University, where they studied Computer science and business for a year. Prior to university, Max attended Nacka Gymnasium from 2008 to 2011, specializing in Naturvetenskap med utlandsstudier. Additionally, in 2010, Max briefly studied at Canterbury College in Kent, United Kingdom, although the specific field of study is unknown.