Elie Hatem

Robotics & AI Engineer

I build simulation environments, synthetic data pipelines and digital twins for robots, from humanoid robot learning to aircraft assembly. Based in Paris, working at Accenture.

Inverse kinematics, live: the arm follows your cursor.

About

Portrait of Elie Hatem

I'm a Robotics & AI Engineer at Accenture, with an MSc in Advanced Robotics from École Centrale de Nantes. My work sits where robots meet simulation and data: I build the virtual environments where robots are designed, validated and trained, and the pipelines that turn simulation into training data.

Most recently, I worked on the simulation side of a humanoid robot learning project. Before that, I spent nearly five years on Airbus programs, contributing to TRL6 on an automated assembly system and designing a mobile inspection robot together with its digital twin in NVIDIA Omniverse.

I'm comfortable going from whiteboard architecture to working prototype to stakeholder presentation.

  • Physical AISimulation, teleoperation and synthetic data for robot learning.
  • Simulation & digital twinsVirtual commissioning in NVIDIA Omniverse and Isaac Sim.
  • Robot software & controlMotion control, inverse kinematics, MPC and ROS 2.
  • Cloud for roboticsData pipelines and infrastructure on AWS.

Selected work

  • Airbus, 2024–2026

    Mobile inspection robot and its digital twin

    Designed a V2 inspection robot, now being manufactured and tested, and validated it before deployment through virtual commissioning in NVIDIA Omniverse, with RTX LiDAR synthetic data and point-cloud analytics.

  • Airbus, 2023–2024

    Auto-Rigging, A320 nose-fuselage

    ML models and Stewart-platform motion control for an automated assembly system that reached TRL6, reducing assembly time and improving repeatability.

  • LS2N, 2021

    Quadrotor flips in confined spaces

    MSc thesis: an MPC-based trajectory planner and controller, validated in ROS 2 / Gazebo simulation and experimental testing.

    Watch the simulation

Experience

Oct 2021 – Present

Robotics & AI Engineer

Accenture, Paris and Saint-Nazaire

  • Humanoid robot learning, Physical AI

    Jul 2026 – Aug 2026

    • Built the Isaac Lab simulation for a Booster T1 humanoid, integrating inverse kinematics, dexterous hand control and Apple Vision Pro teleoperation.
    • Collected demonstrations and generated synthetic data for Vision-Language-Action training.
  • Airbus: robotics R&D, digital twins and cloud

    Sep 2024 – Jun 2026

    • Designed a V2 mobile robotic inspection system, now being manufactured and tested, and its virtual commissioning environment in NVIDIA Omniverse.
    • Optimized the AWS architecture processing the robot's inspection data (S3, ECS, Terraform), cutting processing time by 50%, and prepared its deployment to the Airbus AWS environment.
    • Drove a mobile-robot concept for installing system modules on next-generation aircraft; simulation-based feasibility and clash analyses helped secure internal funding.
  • Airbus: robotics development and machine learning

    Mar 2023 – Aug 2024

    • Contributed to reaching TRL6 on Auto-Rigging (A320 nose-fuselage) with ML models (scikit-learn, TensorFlow) and C# sensor drivers.
    • Designed and validated motion control for a Stewart platform, with trapezoidal and S-curve velocity profiles and real-time end-pose correction.
  • Airbus: industrial architecture and V&V

    Oct 2021 – Mar 2023

    • Produced 3D models, tooling proposals and virtual feasibility analyses for structural and systems installation on next-generation aircraft.
    • Defined V&V protocols, acceptance criteria and risk assessments for automation projects, and recommended robotics standards.

Feb 2021 – Aug 2021

Robotics Research Intern, MSc thesis

LS2N, Nantes

  • Developed a trajectory planner and controller for quadrotor flips in confined spaces using Model Predictive Control.
  • Analyzed drone dynamics, added robustness criteria, and validated in ROS 2 / Gazebo simulation and experimental testing.

Nov 2016 – Aug 2019

Project Engineer & Head of Technical Department

Quest-4, Beirut

  • Led a team of 14 technicians, from HVAC design and proposals through quality control and invoicing.

Skills

Simulation & Physical AI

Isaac Sim, Isaac Lab, NVIDIA Omniverse, virtual commissioning, synthetic data generation, Apple Vision Pro teleoperation

Robotics & control

ROS 2, Gazebo, inverse kinematics, Model Predictive Control, motion control, MATLAB / Simulink

Machine learning & data

PyTorch, TensorFlow, scikit-learn, Pandas, OpenCV, point clouds

Software & cloud

Python, C++, C#, AWS, Terraform, Docker, Git, CI/CD

CAD

CATIA / 3DEXPERIENCE, SolidWorks

Education and certifications

Education

MSc Control & Robotics, Advanced Robotics École Centrale de Nantes, 2019–2021 GPA 3.48 / 4.0, ranked 6 of 43
BEng Mechanical Engineering, minor in Engineering Management Notre Dame University-Louaize, Lebanon, 2011–2016 Senior project: design and build of a solar-assisted fixed-wing aircraft

Certifications

AWS Certified Solutions Architect – AssociateAmazon Web Services, April 2026, valid until April 2029
Deep Learning SpecializationDeepLearning.AI, February 2025
Machine Learning SpecializationDeepLearning.AI, April 2024

Get in touch

I'm interested in robotics and Physical AI work: simulation, synthetic data, digital twins and robot learning. The best way to reach me is on LinkedIn.

Languages: Lebanese Arabic (native), English (fluent), French (fluent), German (beginner)