Matthieu Herwegh
About Matthieu Herwegh
Matthieu Herwegh is the IoT Solution Team Manager at Braincube, where he leads a team focused on digital transformation solutions. He has a background in engineering and has held various roles in organizations such as Schneider Electric, National Instruments, and BNEI.
Work at Braincube
Matthieu Herwegh currently serves as the IoT Solution Team Manager at Braincube, a role he has held since 2022. In this position, he leads a team that assists clients in their digital transformation efforts. The team focuses on providing solutions that range from data extraction to the implementation of customized applications. Prior to his current role, he worked as a Connectivity Expert at Braincube for five years, starting in 2019, based in Issoire, Auvergne-Rhône-Alpes, France.
Education and Expertise
Matthieu Herwegh studied at Polytech'Lille, where he specialized in Informatique, Electronique, and Automatisme. He completed his studies with a Diplôme d'ingénieur, a degree he earned over five years from 2012 to 2017. His educational background provides a strong foundation for his work in IoT solutions and energy optimization.
Background
Before joining Braincube, Matthieu Herwegh held various positions in different organizations. He worked at BNEI - Bureau National des Elèves Ingénieurs as Chargé de mission Partenariat for nine months in 2016 and served as Trésorier for 11 months during the same year. Additionally, he was involved with Polytech Alumni as Président from 2019 to 2021. His early career also included roles at Schneider Electric and National Instruments, where he gained experience in firmware and hardware design and application engineering, respectively.
Achievements
Matthieu Herwegh has demonstrated leadership and commitment throughout his career. He was an elected member of the Conseil d'administration at Polytech'Lille from 2015 to 2017. His involvement in various roles showcases his dedication to fostering partnerships and supporting educational initiatives. His current focus on energy optimization reflects his interest in enhancing the understanding of energy usage across multiple domains.