Summary
Michel Aractingi is a research scientist and robotics-focused machine learning engineer with nine years of experience bridging academic rigor and product-oriented AI. He completed a PhD in Robotics and Computer Science and has worked across R&D and industry roles at NAVER LABS, Enchanted Tools, Hugging Face, and UMA, combining embodied AI, robotic perception, and applied research. At Hugging Face he focused on embodied AI, translating cutting-edge models into interactive, real-world behaviors, and at UMA he continues to push research toward deployable systems. His background in electrical engineering and informatics gives him a strong hardware-to-ML perspective that informs practical robotics solutions. Colleagues describe him as someone who consistently moves ideas from prototypes to reproducible experiments, with a knack for integrating perception, control, and learning. Based in Paris, he blends European research training with startup speed to deliver resilient, experiment-driven robotics software.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at University of Balamand
Master of Science (M.Sc.), Informatics, Master of Science (M.Sc.), Informatics at Grenoble INP - UGA
Doctor of Philosophy - PhD, Robotics and Computer Science, Doctor of Philosophy - PhD, Robotics and Computer Science at INSA Toulouse - Institut National des Sciences Appliquées de Toulouse