Arturo Souza
Data Scientist
Rio Grande do Sul, Brazil
Summary
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Top SchoolArturo Souza is a Data Scientist and PhD candidate in Artificial Intelligence with eight years of experience building production software and applied ML solutions. He bridges research and engineering—moving from published sequence-model research for stress classification to improving receipt-processing AI at SAP Concur. Previously he implemented backend workflows and TypeScript-based database provisioning for SAP microservices, including migration and feature enhancements for Flexible Tenant Configuration. His academic focus on model-based reinforcement learning and temporal abstraction complements hands-on expertise in Node.js, Python, and cloud data tools like BigQuery. Based in Rio Grande do Sul, Brazil, Arturo combines rigorous engineering from an electronics and adaptive filters background with creative algorithmic work, aiming to design option-aware RL algorithms that scale to real-world temporal tasks. An uncommon strength is his ability to navigate both low-level system migrations and cutting-edge sequence and RL modelling within the same product lifecycle.
7 years of coding experience
4 years of employment as a software developer
Master Degree in Applied Computer Science, Artificial Intelligence, Masters, Master Degree in Applied Computer Science, Artificial Intelligence, Masters at Universidade do Vale do Rio dos SinosBachelor of Engineering - BE, Adaptive Filters, Bachelor of Engineering - BE, Adaptive Filters at Universitetet i Sørøst-NorgeBachelor in Eletronic Engineering, Eletronic and Eletric Engineering, Bachelor in Eletronic Engineering, Eletronic and Eletric Engineering at Instituto Militar de EngenhariaDoctor of Science, Artificial intelligence, Doctor of Science, Artificial intelligence at Unisinos
Github Skills (15)
recurrent-neural-networks9
reservoir8
sequence7
classification7
echo7
machine-learning-algorithms6
deep-learning6
machine-learning6
python6
tensorflow5
artificial-intelligence5
neural-network4
architectures3
architecture2
keras2
Programming languages (2)
Github contributions (5)
ramos-ai/MoStress
Sep 2022 - Dec 2022
Implementation of MoStress: a Sequence Model for Stress Classification
Contributions:1 review, 16 commits, 9 PRs in 3 months
sequencedeep-learningmachine-learningneural-networkpython3
arturossouza/MoStress
Sep 2022 - May 2023
Implementation of MoStress: a Sequence Model for Stress Classification
Contributions:21 pushes, 2 branches in 8 months
deep-learningsequencemachine-learningclassification
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