Julien Rineau

Julien Rineau has a diverse work experience in the field of engineering and software development. Julien started their career as an Operator at Terrena in 2017. From 2020 to 2021, they worked as a Web Developer at AMJE Paris - Arts et Métiers Junior Etude de Paris. In 2021, Julien served as a Data Science Intern at the Institute of Transportation Studies Berkeley, where they developed a Python-based traffic flow simulation model and conducted data analysis for transportation insights. From 2019 to 2022, they worked as a part-time Freelance Software Engineer for various companies. In 2022, they joined UC Berkeley College of Engineering as a Graduate Researcher in the UC Berkeley Hybrid Robotics Lab. Julien's most recent position is at Helm.ai, where they work as a Machine Learning Engineer starting in 2023.

Julien Rineau completed their education in a sequential manner. From 2017 to 2020, they attended Lycée Eugène Livet, where they studied Preparatory Classes. In 2020, they enrolled at Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers, where they pursued a Master of Science degree in Mechanical and Industrial Engineering. This program lasted until 2023. During the same period, from 2022 to 2023, Julien also attended the University of California, Berkeley. At UC Berkeley, they pursued a Master of Engineering degree in Mechanical Engineering. Julien's education at UC Berkeley also involved studying at the Haas School of Business, although the specific degree and field of study are not provided.

In terms of certifications, Julien obtained several qualifications. In 2015, they received a Black Belt Certification (BB) from the International Judo Federation, although the specific details regarding the month are not available. Additionally, they obtained certifications in Neural Networks and Deep Learning from DeepLearning.AI in January 2023, as well as in Convolutional Neural Networks in TensorFlow from the same institution in May 2021.