Veronica Vannini is a computer scientist with a Ph.D. and a decade of experience building AI-embedded systems and low-level software, currently based in Lévis, Quebec. She combines deep academic research—driven by a PhD from Universidade de São Paulo—with applied industry work as a data scientist at Ambev Tech and hands-on embedded firmware development in aviation and research settings. Known for optimizing low-level code and integrating AI algorithms into constrained environments, she architects solutions that bridge research and production. Her background in organizing large technical events and community tutoring highlights strong collaboration, stakeholder relations, and mentorship skills beyond pure engineering. Eager to shape the future of embedded intelligence, she brings both rigorous theory and practical delivery to challenging embedded-AI projects.
10 years of coding experience
3 years of employment as a software developer
Postgraduate Degree, Computer Science, Postgraduate Degree, Computer Science at Université Laval
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