Guilherme Esgario is a Data Engineer with 9 years of professional experience and a strong foundation in computer engineering and an MSc in Informatics. He has progressed from embedded systems and computer vision roles into machine learning and data science positions, now delivering data platforms and pipelines at Noorden Group after hands-on ML work at Raízen and Cloud2Go. Known for bridging research-driven approaches with production engineering, he has repeatedly moved prototypes from vision models to scalable deployments in industrial and energy contexts. Based in Brazil, he combines systems-level thinking from early embedded work with applied ML expertise, enabling pragmatic solutions that reduce operational friction and unlock business value. An analytical problem-solver, he often blends academic rigor with practical implementation, which helps him tackle complex data challenges across the entire stack.
9 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at Faculdade Novo Milênio
Msc Degree Informatics, Msc Degree Informatics at Ufes - Universidade Federal do Espírito Santo
This repository is intended to develop the work supported by the Latin America Research Awards 2018.
Contributions:25 commits, 9 PRs, 31 pushes in 11 months
americadata-sciencelatinsupportedmachine-learning
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