Gustavo Coutinho is a data scientist and assistant professor in Ceará, Brazil, with 12 years of experience blending academic research and applied machine learning. He leads work on GAN-based synthetic biometric data for wearables and federated learning at Insight Data Science Lab while supervising precision agriculture analytics and teaching core CS courses at IFCE. His background spans NLP meta-learning for low-resource sentence compression, time-dependent network research, and a PhD in Computer Science, reflecting strong expertise in both theory and production tooling (Python, TensorFlow/Keras). Gustavo’s profile is notable for combining hands-on model engineering with published research and practical ETL/predictive pipelines for agriculture—an unusual bridge between biometric privacy, federated systems, and domain-specific predictive modeling.
12 years of coding experience
3 years of employment as a software developer
Bootcamp Java 2021, Bootcamp Java 2021 at Alura
Exchange Student, Computer Science, Exchange Student, Computer Science at St. John's University
Doutorado, Computer Science, Doutorado, Computer Science at Universidade Federal do Ceará
Repositório dedicado ao minicurso sobre Meta-learning do Simpósio Brasileiro de Banco de Dados 2022.
Contributions:3 commits in 2 months
pytorchbrasileirodadosmeta-learningdeep-learning
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