Summary
Simon Goller is a seasoned electrical engineer with 22 years of hands-on experience designing industrial control and lighting systems, from apprenticeship bench work to multi-million euro tendered projects across Europe. He blends deep expertise in electrical planning, 3D CAD, ERP integration and certification preparation (UL/CSA) with practical machine safety and risk assessment experience. Formerly a service engineer at EPLAN, he brings strong tooling knowledge of market-leading electrical planning software and a track record of improving internal knowledge bases and QA workflows. Passionate about light quality and biologically effective lighting, he pairs that domain insight with a growing interest in AI, machine learning and Python—skills he has formally pursued via a TensorFlow nanodegree. Based in Wipperfürth, Germany, Simon is curious about automating engineering workflows and turning complex standards-driven requirements into robust, certifiable solutions.
22 years of coding experience
Nanodegree, Introduction to Machine Learning with TensorFlow, Nanodegree, Introduction to Machine Learning with TensorFlow at Udacity
State Certified Engineer, Electronics, 2,2, State Certified Engineer, Electronics, 2,2 at Berufskolleg Oberberg Ernährung-Sozialwesen-Technik Gummersbach