Summary
Axel Xu is a Solutions Architect at NVIDIA with a decade of experience blending rigorous engineering training and applied machine learning. Trained at CentraleSupélec and Columbia (MS in Computer Science), he combines strong mathematical instincts from preparatory classes with practical deep learning work completed during a Corning data science internship. He excels at translating research-grade ML methods into production-ready solutions and advising on architecture choices across hardware-accelerated platforms. Comfortable in both French and international tech environments, he has also led partnership initiatives in student-run events, showing a knack for technical collaboration and stakeholder engagement. Colleagues describe him as intellectually curious and methodical—equally at home prototyping models and shaping scalable deployment strategies.
10 years of coding experience
1 year of employment as a software developer
Diplôme d'ingénieur, Computer Engineering, Diplôme d'ingénieur, Computer Engineering at CentraleSupélec
Classe préparatoire aux grandes écoles, Mathematics and Computer Science, Classe préparatoire aux grandes écoles, Mathematics and Computer Science at Lycée Henri IV
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University in the City of New York