Experience
Research Engineer in Humanoid Robotics — LAAS-CNRS Gepetto, Toulouse, France (Nov. 2024 – Nov. 2025)
- Deep Reinforcement Learning and Optimal Control for Bipedal Locomotion.
- Modeling and Control of a Humanoid with Parallel Mechanisms.
- Software Development for Control, State Estimation, System Identification and Safety on a Bipedal Robot.
Research Internship in Robotics — LAAS-CNRS Gepetto, Toulouse, France (2024, 6 months)
- Parkour Trajectory Optimization on the Solo12 Quadruped Robot.
- Modeling and Control of a Humanoid with Parallel Mechanisms.
Engineering Internship — PAL Robotics, Barcelona, Spain (2023, 3 months)
- Integration of Robot Simulations on MuJoCo: Humanoids and Mobile Manipulators.
- Bimanual Workspace Analysis using ROS, C++ and Python.
- Docker and Bash Scripts for NVIDIA Jetson Boards.
Education
Master’s Degree in Robotics and Computer Vision — University of Strasbourg, France (2022–2024)
Master of Science in Engineering — Telecom Physique Strasbourg, France (2021–2024) Computer Science, Signal Processing, Electronics, Physics, Mathematics. Last year specialization: Control Systems and Robotics.
Preparatory Classes — Colmar, France (2019–2021) Intensive training in Mathematics, Physics and Engineering.
Skills
Programming: Python, C, C++, MATLAB, JavaScript, LaTeX
Software & Tools: Isaac Lab, ROS, MuJoCo, Pinocchio, Crocoddyl, Linux, Git
Languages: French (Native), English (Advanced — TOEIC 940/990), German (Intermediate)
Online Certifications
Deep Reinforcement Learning Nanodegree — Udacity.com (2026) Online course on Deep Reinforcement Learning in partnership with NVIDIA Institute.
Neural Networks and Deep Learning — Coursera.org (2023) MOOC by Andrew Ng, Stanford University.