Renato Scaroni
Technical Lead at Scipopulis
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolRenato Scaroni is a technical lead based in São Paulo with 12 years of experience evolving from game and backend development into data engineering and data science. He has led teams and shipped production systems across mobile games, e-commerce migrations, and cloud-based data pipelines, recently focusing on product-impacting analytics and model productization. At Scipopulis he moved quickly from senior data engineer to technical lead, reflecting a blend of hands-on coding, architecture, and team leadership. His background includes research in deep learning for planning and practical experience with AWS, Databricks, PySpark and orchestration of ETL and BI platforms. Comfortable bridging business and engineering, he excels at turning complex data into reliable pipelines and actionable insights while retaining a developer’s attention to game-like user experiences.
12 years of coding experience
9 years of employment as a software developer
Exchange student, Conputer and informatics engineering, Exchange student, Conputer and informatics engineering at Instituto Superior TécnicoDS4A/Empowerment Fellow, DS4A/Empowerment Fellow at Data Science for All by Correlation OneUniversity of São PauloMaster's degree (incomplete), Computer Science - Artificial inteligence, Master's degree (incomplete), Computer Science - Artificial inteligence at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
German, English, Portuguese
Github Skills (14)
summaries6
planning4
recurrent4
deep-reinforcement-learning3
backpropagation3
unity3d2
ads2
machine-learning2
reinforcement-learning2
admob1
javascript1
ios1
sdk1
android1
Programming languages (2)
Github contributions (5)
renato-scaroni/mac499
May 2014 - Dec 2014
Contributions:28 commits in 7 months
renato-scaroni/ReinforcementLearning-knowledgeBase
Feb 2019 - Jul 2019
A repository to centralize all my studies on Reinforcement learning including summaries, presentations and references
Contributions:8 PRs, 34 pushes, 8 branches in 5 months
reinforcement-learningreinforcementsummariesdeep-reinforcement-learning
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