About Me

Hello, I’m Tarek

I am a Research Staff Member at Layer42, working on computer vision, visual localization, and 3D vision for real-world autonomous systems.

My recent work focuses on foundation models for visual place recognition, perception and mapping for robotics, and the use of generative models, Physical AI, and world modeling to build deployment-ready spatial intelligence systems.

I hold master’s degrees from Paris-Saclay University, CentraleSupelec, and Paris-Sud University in computer vision, robotics, control, and autonomous systems. I previously studied Control and Systems Engineering at INELEC, Boumerdes University.

Across research and applied R&D roles, I have worked on:

• Visual positioning and localization for UAVs and real-world robotics
• Visual place recognition and feature matching across challenging conditions
• 3D scene understanding and reconstruction for spatial perception
• Motion planning and autonomous systems with deployment constraints in mind

Research Interests

I am interested in computer vision for geospatial AI, embodiment, and Physical AI. My interests span:

• Visual place recognition and localization
• 3D scene understanding, 3D-LLMs, and spatial reasoning
• Feed-forward reconstruction and VGGT-style 3D perception pipelines
• Foundation, generative, and multimodal models for embodied intelligence

Collaboration

I am the founder of Layer42 and open to:

• Research collaborations
• Applied R&D work
• Select opportunities in computer vision, localization, 3D perception, and embodied AI

Thank you for visiting.