CV

You can check out my CV for more details.

Profile

Ph.D. candidate in Automatic Control and R&D Engineer in robotics, control, and autonomous systems, with experience in autonomous driving, modeling and simulation, state estimation, advanced control, and embedded/mechatronic systems.

Experience Highlights

• Autonomous Driving Research Engineer, Stellantis — Since Feb. 2024
  Development of control algorithms for autonomous driving and ADAS, with applications to vehicle dynamics, motion control, and model-based decision/control strategies.

• R&D Engineer Intern, Stellantis — Feb. 2023 – Aug. 2023
  3D vehicle digital twin for load identification using real driving data, including an augmented and constrained Extended Kalman Filter applied to a nonlinear half-vehicle multibody model.

• Robotics Engineer, Clubelek – INSA Lyon — Sept. 2020 – Feb. 2023
  Robotics competition work involving module coordination, systems integration, localization, path planning, Python, C/C++, and ROS-based development.

Education

• Ph.D. Candidate in Automatic Control, IRIMAS UR 7499 – Université de Haute-Alsace — 2024–2027
  Research area: decision and control systems for autonomous vehicles; multi-objective optimal control.

• MEng in Mechanical Engineering, INSA Lyon — 2020–2023
  Major: Mechatronics and Systems.

• MSc Mechanical Engineering — Exchange Program, EPFL — 2021–2022
  Coursework in mobile robotics, robotics for manipulation, nonlinear control, multivariable control, and embedded motor control.

Selected Projects

• Design and Development of a Quadcopter Testbed — Ampère Laboratory, CNRS UMR 5005
  Flight dynamics modeling, UAV stabilization control laws, prototype realization, testing, and experimental validation.

• CubeSat Prototyping and Testing — INSA Lyon
  Design of the on-board computer and embedded electronics architecture of a university CubeSat.

Technical Skills

• Control & Robotics: nonlinear and optimal control, data-driven control, optimization, state estimation, signal processing.
• Programming: Python, C/C++, MATLAB/Octave, Java, Bash.
• Modeling & Simulation: MATLAB/Simulink, SIMPACK, Simcenter Amesim, MSC Adams.
• Robotics & Embedded Systems: ROS, ROS 2, Arduino, STM32, Raspberry Pi, KiCAD.
• Libraries & Tools: NumPy, SciPy, Matplotlib, pandas, scikit-learn, TensorFlow, PyTorch, Git, Linux.

Publications & Intellectual Property

• Context-Aware Hierarchical MPC for Autonomous Vehicle Path Tracking
  Under review at 2026 IEEE International Conference on Systems, Man, and Cybernetics.

• Multi-Scenario Multi-Objective Predictive Controller for Lateral Control of Autonomous Vehicles
  Published in IFAC IAV 2025 conference proceedings — doi.org/10.1016/j.ifacol.2025.07.013

• Multi-Scenario Control Strategy for Autonomous Vehicles
  Patent application pending — awaiting conflict review.

Links

• GitHub
• LinkedIn
• Google Scholar
• ORCID