Jeremias Abreu
Software Engineer at DoorDash
São Paulo, Brazil
Summary
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Top SchoolJeremias Abreu is a software engineer with eight years of experience building backend systems and real-time web platforms, currently contributing at DoorDash from São Paulo. He has a strong foundation in deep learning from research work at UFPA—where he implemented a CNN-based EEG classifier with over 90% accuracy—and has applied that analytical rigor to production-grade, event-driven architectures supporting thousands of concurrent sportsbook users. Jeremias focuses on backend and distributed systems, favors Rust for high-performance, secure services, and has hands-on experience designing monitoring, alerting, and asynchronous workflows for payments, risk management, and live event processing. Comfortable across full-stack stacks from Node.js and React to Flutter and Python, he thrives in collaborative, fast-learning teams and seeks challenging problems that push system scalability and reliability.
7 years of coding experience
5 years of employment as a software developer
Bacharelado, Engenharia de Computação, Bacharelado, Engenharia de Computação at Universidade Federal do Pará
English, Portuguese, French
Github Skills (6)
python5
ria4
react2
gradient2
machine-learning1
data-science1
Programming languages (4)
Github contributions (5)
jere-god/EstDadosProject
Jun 2018 - Nov 2019
Contributions:3 pushes, 1 branch in 1 year 5 months
j-abreu/imputation-web-service
Dec 2022 - Feb 2024
Contributions:3 pushes, 16 branches, 1 issue in 1 year 1 month
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