Eléonore Jrv

Eléonore Jrv has been working in the field of robotics and automation since 2018. In 2018, they were a Mechanical Engineer Intern at Safran, where they conceived equipment for the assembly line which were 3D printed. In 2019, they were a Data Scientist Intern at Eurovia, where they used deep learning and data analytics to predict accidents on construction sites and tracking performance metrics. Eléonore also participated in a Hackathon at Eurovia and won the Dassault UAV Challenge. Additionally, they were a Research Assistant at Stanford University, where they designed a state machine for autonomous food delivery and coded algorithms such as Trajectory Tracking, A*, Extended Kalman Filter, and SLAM. In 2020, they were a Software Engineer Intern at Hermes Robotics, where they worked on obstacles detection and avoidance and optimized Lidar perception for short and long range detection. Currently, they are an R&D Engineer for Autonomous Vehicles at Hermes Robotics.

Eléonore Jrv has a comprehensive education history. Eléonore began their studies in 2015 at Lycée Sainte-Geneviève, where they studied Engineering and Physics. In 2017, they earned a Bachelor of Science in Mechanical and Industrial Engineering from Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers. Eléonore then went on to pursue a Master of Science in Mechanical Engineering at Stanford University, which they completed in 2021.