Summary
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.
11 years of coding experience
13 years of employment as a software developer
Telecommunications Technician, Telecommunications Technician at ETEC Getúlio Vargas
University of São Paulo
Maintenance Electrician, Maintenance Electrician at Senai São Paulo