Jose Alves is a Development Team Lead specializing in scientific software for multi-physics finite element simulation, leading Transvalor’s Deep Learning & Multiphysics group while retaining hands-on development of solvers for processes like electromagnetic forming, induction heating and spot welding. With a PhD-level research background from Mines ParisTech and a Mechanical Engineering degree from Universidad Simón Bolívar, he blends academic rigor with product-focused engineering. He seeks "elegant solutions"—simple, versatile and accurate—and applies continuous-improvement practices to production simulation tools. Based in the Greater Nice area, he pairs expertise in multi-physics and deep learning with practical R&D experience accumulated since 2012. Colleagues describe him as a people-first leader who values diversity and mentors others while advancing applied research into deployable software.
4 years of coding experience
7 years of employment as a software developer
Engineer's degree, Mechanical Engineering, Engineer's degree, Mechanical Engineering at Universidad Simón Bolívar
Post Master, Computational Mechanics, Post Master, Computational Mechanics at Ecole nationale supérieure des Mines de Paris
Control Engineering, Control Engineering at 長岡技術科学大学 / Nagaoka University of Technology
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