Daniel Sakuma

Senior Machine Learning Engineer at Nubank

São Paulo, Brazil
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Summary

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Senior
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Daniel Sakuma is a Senior Machine Learning Engineer based in São Paulo with 11 years of experience building and operationalizing ML-driven products across fintech, e-commerce and fraud detection. He currently contributes to Nubank's ML stack and has a hands-on background designing biometric 2FA, face-matching and liveness systems, as well as deploying fraud models in production using Python, Flask, Docker and AWS serverless services. Earlier roles span data engineering (Airflow, Spark, S3, Athena) and embedded security solutions, reflecting a rare blend of model development, data pipelines and cloud-native deployment. He holds an Information Systems degree from Universidade de São Paulo and has pursued graduate work in AI and Computer Vision, bringing both practical production chops and research-minded rigor to applied ML problems.
code12 years of coding experience
job13 years of employment as a software developer
bookTelecommunications Technician, Telecommunications Technician at ETEC Getúlio Vargas
bookUniversity of São Paulo
bookMaintenance Electrician, Maintenance Electrician at Senai São Paulo
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Github Skills (50)

artificial-intelligence10
python10
data-science10
r10
java10
open-data10
sql10
data-structure9
pandas9
spark9
scheduler9
scala9
jdbc9
machine-learning9
big-data9

Programming languages (7)

ShellScalaSwiftJupyter NotebookRubyPythonCuda

Github contributions (5)

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dsakuma/setup-python-project

May 2022 - Nov 2022

Contributions:40 commits, 12 pushes, 1 branch in 5 months
dsakuma/ubuntu-dev-setup

Jun 2024 - Jun 2026

Contributions:120 pushes in 2 years
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