About Me

PhD-level AI and control engineer with 6+ years in automated driving at Renault Group and Valeo, now also working as an independent consultant (micro-entreprise). I deliver Reinforcement Learning, computer vision / VLM, LLM-agent and robot control solutions, from prototype to simulation and real-vehicle or robot validation (C++/Python/ROS2).

At Renault Group, I design AI-based ADAS components and lateral control algorithms. Previously, at Valeo, I led RL-based and DL-based software solutions for decision-making and path-planning in automated driving, and ran a co-simulation platform for validation. Before that, at Renault, I designed and implemented advanced control systems, including lateral and switching controllers, using C++, MATLAB, and Python.

I hold a Ph.D. in Automation and AI for Automated Vehicles from Grenoble-Alpes University, awarded the Best Thesis Award by GDR-MACS in 2023. I also earned an M.Sc. in Robotics and Automatic Control from Grenoble-Alpes University and a B.E. in Mechanical Engineering from Lebanese University.

Supervised Research Projects

• PhD at Valeo-Inria collaborative team (2024-2025): RL-based Decision-Making and Planning for Automated Driving.
• M2 at Lebanese University (2025): LLM-based Hospital Readmission from EMRs.
• M2 at Telecom SudParis (2024): Generative and Explainable AI for Dysgraphia Detection from Online Handwriting.
• M2 at Gipsa-lab (2022): Autonomous Vehicles Decision-Making based on Reinforcement Learning.
• M2 at Gipsa-lab (2022): ROS Implementation of Planning and Robust Control Strategies for Autonomous Vehicles.