Jonas Targino
Mestre Em Inteligência Artificial at Autônomo
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolJonas Targino is an AI researcher and practitioner with nine years of experience specializing in image processing, computer vision, biometrics and deep learning, currently working independently as Mestre em Inteligência Artificial. He completed advanced studies at Escola Politécnica da USP as a PhD student in Artificial Intelligence after earning a master’s in AI from Universidade de São Paulo, and brings industry experience from Shell and Semantix where he delivered ML pipelines and real-time Spark solutions. Jonas combines strong research rigor with production skills across Python, PyTorch/TensorFlow, Spark/PySpark and MLOps tooling, plus experience in statistical languages (R, Matlab) and deployment stacks (Postgres, Kafka, Hadoop). Known for hands-on expertise in convolutional and fully convolutional networks, GANs and ensemble methods, he also applies AI to niche domains like seismic exploration and biometric recognition. He has a practical systems mindset—comfortable from low-level Fortran/assembly to cloud-scale streaming—and a track record of turning research ideas into deployable analytics and visualization products. Based in São Paulo, he blends academic depth with pragmatic engineering to solve complex, data-rich problems.
10 years of coding experience
Licenciatura em Ciências da Computação, Desenvolvimento de Sistemas, 5, Licenciatura em Ciências da Computação, Desenvolvimento de Sistemas, 5 at Universidade Federal da ParaíbaPhD Student in Artificial Intelligence, Artificial Intelligence, PhD Student in Artificial Intelligence, Artificial Intelligence at Escola Politécnica da USPUniversity of São Paulo
English, Portuguese
Github Skills (10)
python8
gpu7
machine-learning7
deep-learning7
neural-network6
numpy5
generative-adversarial-network3
gpu-acceleration3
tensor3
autograd2
Programming languages (3)
Github contributions (5)
faizao/Mestrado
Aug 2018 - May 2020
Contributions:3 commits, 5 pushes, 1 branch in 1 year 9 months
RCGI-STMI/U-DeepFWI
Jul 2020 - Jul 2020
U-Net neural network applied to FWI problems
Contributions:33 commits, 19 pushes in 23 days
neural-network
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