Attila Fodor

Attila Fodor has extensive work experience in various roles related to machine learning and engineering. Attila is currently working as a Machine Learning Engineer at AiFi Inc. since 2022. Prior to this, they worked at Rovco as a Machine Learning Engineer from 2019 to 2021, where they focused on image segmentation, dataset generation, and transfer learning. Before that, they worked at AB Dynamics as a System Engineer from 2018 to 2019, where they developed 3D object detection and tracking systems. Attila also worked at Bosch as a Machine Learning Engineer in 2018, conducting ML research for autonomous driving and developing object detection architectures. Earlier in their career, they worked at Morgan Stanley as an Associate in 2017 and at GE Healthcare as a Data Science Specialist and part of the Edison Engineering Development Program from 2014 to 2017. Attila began their career as a Medical Software Engineer at B.Braun Medical inc. from 2011 to 2013. Overall, Attila Fodor has acquired a diverse set of skills and experience in the field of machine learning, engineering, and data science throughout their career.

Attila Fodor began their education in 2008 at Budapest University of Technology and Economics, where they pursued a Bachelor of Applied Science (B.A.Sc.) in Electrical and Electronics Engineering. Attila successfully completed their undergraduate studies in 2012.

In 2012, Attila Fodor continued their education at Aalborg University, where they pursued a Master of Science (MSc) in Control and Automation. Attila completed this program in 2013.

Following their studies at Aalborg University, Attila Fodor went on to pursue another Master of Science (MSc) program at Budapest University of Technology and Economics. Attila specialized in Electrical and Automation Engineering during this program, which commenced in 2013 and concluded in 2015.

Based on the provided chronological information, it can be summarized that Attila Fodor has a Bachelor's degree in Electrical and Electronics Engineering and dual master's degrees in Control and Automation, as well as Electrical and Automation Engineering.