Tulio Alberto

Data Scientist

San Diego, California, United States
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Summary

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Tulio Alberto is a Data Scientist based in San Diego with 11 years of experience applying machine learning and deep learning to real-world problems across industry and research. He has worked at Amazon (including AWS Professional Services) helping customers deploy AI/ML solutions in production, and previously built CNN-based satellite-imagery pipelines using Keras and PyTorch at SpaceTime Labs. His background blends rigorous academic training (MSc in Computer Science with emphasis on ML) with software-engineering practices honed at ThoughtWorks, enabling repeatable, well-tested ML systems. Tulio contributes to open-source documentation for high-profile tooling such as the Amazon SageMaker Python SDK, clarifying dataset and execution semantics to improve developer experience. He combines hands-on model development (U-Net, ResNet, Mask R-CNN) with cloud deployment and customer-facing consulting, making him effective at translating research into production impact. Colleagues describe him as a pragmatic problem solver who bridges research rigor and production reliability.
code11 years of coding experience
job8 years of employment as a software developer
bookSchool of Artificial Intelligence Scholarship, School of Artificial Intelligence Scholarship at Pi School
bookBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Universidade Federal de São Carlos
languagesEnglish, Portuguese, Spanish, Italian
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1,548reputation
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17answers
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Github Skills (16)

sagemaker10
aws10
documentation10
python9
machine-learning9
nltk9
xgboost8
pickle6
amazon-sagemaker6
networkx6
aws-cloudformation6
amazon-web-services6
r6
scikit-learn6
rstudio6

Programming languages (9)

TypeScriptShellRustCJavaScriptGoJupyter NotebookRuby

Github contributions (5)

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aws/sagemaker-python-sdk

Aug 2021 - Jun 2022

A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
userTechnical Writer
Contributions:5 commits, 7 PRs, 7 comments in 10 months
Contributions summary:Tulio primarily contributed to the documentation of the `sagemaker-python-sdk` repository. Their work focused on clarifying and expanding documentation related to the `dataset_definition`, `default_bucket`, and `ExecutionVariables`. They also added documentation for the `XGBoostProcessor` class, demonstrating an understanding of the project's scope. The changes involved modifying documentation files and code comments to improve clarity and comprehensiveness.
pytorchsagemakerdeployingmxnetpython
tuliocasagrande/tubespam

Oct 2017 - May 2022

Contributions:2 pushes, 2 branches in 4 years 8 months
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Tulio Alberto - Data Scientist