AI Researcher · Robotics Engineer

Building intelligent systems for autonomous robots.

About

Profile

Fresh Computer Science Engineering graduate with a strong interest in deep learning, reinforcement learning, embodied AI, and vision-language navigation for autonomous robots. I am interested in research and engineering positions where I can contribute to robotics, AI systems, and autonomous decision-making.

Education

2023 – 2026

National School of Computer Science (ENSI), Tunisia

Engineering degree.

2021 – 2023

Engineering Preparatory Institute of Monastir

National competitive exam rank: 56/650.

Experience

Selected engineering and research experience.

AI / Robotics Engineer Intern · OORB, Tunisia

RL environments and control for legged robots

Jun 2025 – Aug 2025

  • Designed quadruped locomotion and manipulation RL environments in MuJoCo and Gymnasium.
  • Trained PPO policies and integrated them into ROS2 nodes for real-time control.
  • Built reproducible pipelines with Docker, Kubeflow, and TensorBoard on Linux.

Projects

Eurobot Competition · 2024

Autonomous Mobile Robot

  • Implemented YOLO-based perception and LiDAR-based SLAM for environment understanding.
  • Designed PID control pipelines using encoder feedback for reliable navigation.
  • Deployed the robotic stack on Raspberry Pi and Jetson Nano with ROS2.

ENSI & OORB · 2025

LLM-Guided Robot Learning

  • Developed an LLM-guided reinforcement learning framework inspired by reward synthesis workflows.
  • Used language models to refine reward functions from environment feedback.
  • Evaluated reward efficiency and behavior quality on sparse-reward MuJoCo tasks.

Publications

In preparation

Vision-Language Navigation for Embodied AI

Co-authored research manuscript covering predictive world models, grounded memory, and planning for autonomous navigation.

Skills

PyTorch Transformers Vision-Language Models Reinforcement Learning ROS2 MuJoCo Gazebo SLAM Docker Linux Python C++