Carlos Santos is an Assistant Researcher and machine learning engineer with nine years of experience building production-grade AI systems and applied research in NLP and DSP. He holds a PhD in Industrial Engineering and blends academic rigor with practical delivery, having transitioned from managing a university post-graduate program to leading data teams in industry. At Match<IT> he moved from hands-on AI/NLP research to Head of Data, demonstrating both technical depth and people leadership. His visiting fellowship at the University of Plymouth highlights a niche expertise at the intersection of machine learning and digital signal processing. Now based at INESC TEC in Porto, he focuses on turning research insights into deployable solutions across industry and academia. Colleagues describe him as a practitioner who bridges scholarly metrics, product needs, and scalable ML engineering.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Industrial Engineering, Doctor of Philosophy - PhD, Industrial Engineering at Universidade Federal Fluminense
UFF
Bachelor's degree, Innovation, new product development, logistics, Bachelor's degree, Innovation, new product development, logistics at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Contributions:11 commits, 10 pushes, 1 branch in 10 months
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