Experience

  1. AI & Control Software Engineer

    Renault Group
    • Design and develop AI-based solutions for ADAS software components (Driver Hands-on Detection, Decision-Making, and Path Planning).
    • Design and develop control algorithms for ADAS lateral control.
    • Propose innovative research projects to improve control and motion planning solutions.

  2. Freelancer - AI Engineer

    Kerrigan
    • Develop an automated evaluation of AI-based code generation and live chat, with a benchmark of well-known LLMs.
    • Integrate a Vision-Language Model (VLM) for a watcher agent that gives feedback about the robot’s environment when needed.
    • Propose and implement AI solutions for object detection and depth estimation for autonomous mobile robots (AMR) in manufacturing.
    • Develop prompt solutions that help AI agents create and write code scripts for track mapping and planning of the AMR.

  3. Part-Time Lecturer

    ENSTA Paris | Institut Polytechnique de Paris
    • Automated Vehicles Course: Introduce the foundations of automated driving, covering the decision-making and control algorithms.

  4. Part-Time Lecturer

    EFREI University
    • Reinforcement Learning (RL) Course: Cover the foundations of Reinforcement Learning with the most recent research and applications.
    • TP in Python using Gym and StableBaselines libraries.

  5. AI Software Engineer - Expert in AI and Decision-Making for AV

    Valeo - Driving Assistance Research (DAR) Team
    • Owner of several classical and AI-based (C++/Python) software packages: develop, maintain, validate, and improve software applications according to project requirements.
    • Project leader of a Reinforcement Learning (RL) based software application for a decision-making system, including roadmap creation, task allocation, requirement analysis, code design, implementation, simulation validation, real-vehicle testing, and documentation.
    • Responsible of a co-simulation platform between CarMaker and RTMaps aiming to provide a simulation environment where all the automated driving software products may be validated.
    • Participated in external projects to produce Deep-Learning and C++/Python software products according to provided requirements.

  6. R&D Engineer

    Renault Group
    • Designed, implemented (MATLAB, C++), and validated a novel switched lateral control architecture for automated driving.
    • Designed, implemented (Python, MATLAB, C++), and validated a switching controller based on Reinforcement Learning (RL) for a robotized RENAULT ZOE vehicle.
    • Led a team of PhD and M2 students (in collaboration with Gipsa-lab) in the end-to-end development and control of a scaled autonomous car, integrating ROS2 with MATLAB and Python-based functionalities.

  7. Research Internship

    Gipsa-lab
    • Implementation and validation in simulation of a lateral controller on autonomous vehicles.

Education

  1. Ph.D. in Automation and AI for Automated Vehicles

    Grenoble-Alpes University & RENAULT
    Read Thesis

  2. M.Sc. in Robotics and Automatic Control

    Grenoble-Alpes University

  3. B.E. in Mechanical Engineering

    Lebanese University
Skills
Technical Skills
Programming: C, C++, Python, Matlab, Java, Rust
Software Design: OOP, Data Structures
Development Tools: Git, CMake, Docker
Machine Learning: Reinforcement Learning, Deep and Convolutional Neural Networks, Transformers, GANs, LLMs
AI Libraries: PyTorch, TensorFlow, Keras, StableBaselines
Autonomous Vehicles: Motion Planning and Control
Tools: Simulink, dSPACE ControlDesk, RTMaps, Arduino
Management: Agile, Scrum, Jira, CodeBeamer, CoreAlm
Awards
Valeo Expert (nominated)
Valeo ∙ 2025
The Best PhD Thesis Prize
GDR-MACS ∙ 2023
Award Image
The Best PhD Thesis Award is the result of my work on control and reinforcement learning applied to autonomous vehicles. My research ranged from theoretical proofs to code design, simulation, and successful experimentation with a real Renault ZOE vehicle. Throughout my PhD, I published over 10 articles in different journals and conferences and filed 5 patents, with some distributed internationally outside Europe.
Doctoral student who filed the most patents
RENAULT SAS ∙ 2021
Ranked first in the Control System & Theory track of Master 2 (MiSCIT)
Grenoble-Alpes University ∙ 2019
Excellence scholarship
PERSYVAL-lab ∙ 2019
Ranked first in the third year among Mechanical Engineering students
Lebanese University ∙ 2018
Languages
100%
Arabic (Native)
100%
English (C1)
80%
French (B2)
30%
Deutsch (A1)