MAHMOUD BOUBAKER

Robotics Engineer

https://www.opentalent.in/mahmoud-boubaker

Key Strengths

Extensive experience in ROS/ROS2 for autonomous mobile robots, covering design, deployment, and architecture leadership.
Deep expertise in multi-sensor integration (LiDAR, cameras, IMU, odometry) with precise time synchronization and TF management.
Proficient in SLAM (2D/3D), autonomous navigation, and control algorithms (MPPI), including map generation and trajectory analysis.
Strong background in data pipelines, including rosbag2, on-robot preprocessing, compression, and real-time video streaming.
Experience with various communication protocols (TCP/IP, UDP, UART, Serial, CAN, CANopen, SPI, I2C, Modbus, DDS, MQTT, Zenoh) for heterogeneous systems.
Demonstrated ability to integrate and manage industrial hardware and develop robust control and data logging components.
Solid foundation in computer vision, machine learning (TensorFlow, PyTorch, NeRF), and data fusion techniques (EKF, Dempster-Schaffer theory).
Experience with containerization (Docker) for reproducible test environments and deployment.
Leadership experience in managing and coordinating a software engineering team, overseeing technical decisions and system integration.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse project experience across different companies (Sfynx Industry, Fives Xcella, DGA, IGN) and roles (Robotics Engineer, Research Engineer, Computer Vision/ML Engineer) indicates adaptability and a broad interest in robotics sub-domains. Their involvement in volunteer activities and stated interests in culture, sports, travel, and cinema suggest a well-rounded individual who could integrate well into diverse team environments. The consistent focus on real-world deployment and system integration aligns with practical, results-oriented cultures.

Soft Skills & Operational Fit

The candidate demonstrates strong analytical skills, a dynamic and autonomous work style, and curiosity, which are valuable for a senior robotics engineer role. Their experience in leading teams, providing field support, and contributing to reproducible research workflows indicates good operational fit and a collaborative mindset. The detailed project descriptions suggest strong communication skills in a professional context.

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About

Robotics Engineer with 6 years of experience in designing and deploying autonomous robotic systems, with strong expertise in ROS2 and robotics data pipelines. Specialized in multi-sensor integration, perception, SLAM, autonomous navigation, and real-time software systems. Experienced in building robust end-to-end software architectures, from research prototyping to full-scale deployment in industrial and experimental environments, with a strong focus on data quality, reproducibility, and system integration.

Top Skills

gazeboPyTorchTensorFlowPythonC++

Education

National School of Mechanical Engineering and Microtechnology ENSMM Besançon

MASTER OF SCIENCE · EMBEDDED INSTRUMENTATION AND ROBOTICS

August 1, 2019 – June 30, 2021

National School of Engineers of Tunis

NATIONAL DIPLOMA OF ENGINEER · ELECTRICAL ENGINEERING: AUTOMATION AND INDUSTRIAL INFORMATICS

August 1, 2015 – June 30, 2018

Experience

Sfynx Industry

Robotics Engineer

March 1, 2025 – Present

Luçon, Pays de la Loire, France

Fives Xcella

Robotics Engineer

March 1, 2024 – March 1, 2025

Larmor-Plage, Brittany, France

Direction générale de l'armement DGA | LITIS Lab

Research Engineer in Perception and Data Fusion

January 1, 2023 – March 1, 2024

Rouen, Normandy, France

French Mapping Agency IGN

Computer Vision and Machine Learning Engineer

January 1, 2021 – December 1, 2022

Paris, Île-de-France, France

Key Strengths

Extensive experience in ROS/ROS2 for autonomous mobile robots, covering design, deployment, and architecture leadership.
Deep expertise in multi-sensor integration (LiDAR, cameras, IMU, odometry) with precise time synchronization and TF management.
Proficient in SLAM (2D/3D), autonomous navigation, and control algorithms (MPPI), including map generation and trajectory analysis.
Strong background in data pipelines, including rosbag2, on-robot preprocessing, compression, and real-time video streaming.
Experience with various communication protocols (TCP/IP, UDP, UART, Serial, CAN, CANopen, SPI, I2C, Modbus, DDS, MQTT, Zenoh) for heterogeneous systems.
Demonstrated ability to integrate and manage industrial hardware and develop robust control and data logging components.
Solid foundation in computer vision, machine learning (TensorFlow, PyTorch, NeRF), and data fusion techniques (EKF, Dempster-Schaffer theory).
Experience with containerization (Docker) for reproducible test environments and deployment.
Leadership experience in managing and coordinating a software engineering team, overseeing technical decisions and system integration.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit