Giovani Candido is a researcher and PhD student in Computer Science based in São Paulo with nine years of experience spanning software and web development and applied machine learning. He holds a Master’s and Bachelor’s in Computer Science from UNESP and began a focused technical path after IT studies at ETEC. Since 2021 he’s contributed to Recogna Laboratory research while securing FAPESP scholarships to pursue projects on prototypical neural networks, metaheuristics, and ML-driven assessment of urban tree biodeterioration. A visiting scholar at TECNALIA, he explored improving few-shot image classification with genetic programming, blending evolutionary computation with deep learning. Giovani combines hands-on coding on GitHub with rigorous experimental research, bridging practical software delivery and academic innovation. His work highlights an uncommon intersection of environmental application and few-shot learning methods.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho
Escola Técnica Estadual "Joaquim Ferreira Do Amaral"
Contributions:4 releases, 118 commits, 27 pushes in 1 month
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Giovani Candido - Researcher at Recogna Laboratory