Deangeli Neves is an MLOps and AI consultant with a decade of engineering experience, currently advising FDNA after six years developing machine learning systems at Instituto de Pesquisas Eldorado. He combines embedded-systems roots (C, FreeRTOS, emWin) with production ML tooling (Python, PyTorch, Detectron2, Docker, Databricks, PySpark), delivering solutions in print-quality assessment, synthetic data generation, visual inspection, human action recognition and autonomous driving. Comfortable across low-level firmware to cloud-backed ML pipelines, he prioritizes reproducible workflows and practical ML good practices. Based in São Paulo, he brings research-oriented rigor from a master’s program at UNICAMP while keeping a playful, hands-on approach to coding and experimentation.
10 years of coding experience
6 years of employment as a software developer
Federal University of Rio Grande do Norte
Master's degree Computer Science, Master's degree Computer Science at Universidade Estadual de Campinas
Contributions:25 commits, 24 pushes, 1 branch in 10 months
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Deangeli Neves - Consulter On MLOps And AI at FDNA