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Post-Doc in Embedded Deep Learning

CEA List

Researching neural network optimization for industrial applications within the France 2030 'DeepGreen' project. Developing compression modules integrated into the Eclipse Aidge open-source platform.

• Primary focus on Tensor Decomposition: Developing novel methods to reduce model complexity and parameters while maintaining performance for industrial tasks.
• Generative AI: Architecting generative models to synthesize high-fidelity training data for industrial anomaly detection, effectively mitigating class imbalance.

Ph.D. Student - Robotics & Computer Vision

University Gustave Eiffel | IGN | EPITA

Doctoral research titled 'Acquisition using lightweight platforms and data processing for underwater photogrammetry'. Developed a full-stack autonomous system for high-resolution underwater 3D photogrammetry.

• Designed and built an autonomous USV (Unmanned Surface Vehicle) catamaran as a modular robotic platform for agile acquisition.
• Engineered a custom synchronized multi-camera underwater payload using low-cost sensors, achieving sub-millisecond trigger precision.
• Created a hierarchical photogrammetry pipeline in MicMac to process massive datasets pose estimation for large-scale 3D reconstruction.

End Of Study Internship

Safran Electronics & Defense

Development of a hardware/software localisation layer for semi-autonomous off-road vehicles.

• Integrating multi-modal sensor data (IMU/GNSS) within a real-time embedded C++ environment for robust autonomous navigation.

Software Engineering Intern

LIRMM

Building real-time software architecture for modular underwater mapping robots.

• Ensuring deterministic behavior for robotic control in complex underwater cave environments using real-time constraints.

Research Undergrad Student

EPITA Research Laboratory (LRE)

Architecting multi-domain robotic platforms and vision systems.

• Designed and integrated hardware/software architectures for submarine, ground, and air robots.
• Developed and optimized stereo-vision algorithms for real-time obstacle detection and spatial awareness.

PhD in Robotics and Photogrammetry

University Gustave Eiffel

Mathematics and Information and Communication Sciences

• Underwater Exploration Robotics
• Photogrammetry 3D Reconstruction Techniques
• View Pose estimation
• Autonomous Systems Architecture
• Synchronized Multi camera

Abroad Semester

Stellenbosch University

Computer Science and Electronics

Specialized in Real Time embedded systems.

EPITA

Computer Science Engineer

• Real-time Embedded Systems
• Algorithmics & Data Structures
• High-Performance Computing

Embedded Linux Course Head

Designing and leading the specialized 'Embedded Linux Distribution' (Yocto) course for senior engineering students at EPITA.

• Full curriculum design focusing on custom board support packages (BSP)
• Teaching real-world embedded best practices