Gabriela Olinto is an Applied Science Manager at Amazon with a decade of experience building production machine learning, predictive models, NLP solutions, and data visualizations across e-commerce and cloud platforms. She holds an MS in Applied Statistics from RIT (specializing in ranking algorithms) and a BS in Statistics from the University of Brasília, and has led teams that translate large-scale research experiments into operational defenses against buyer abuse. Her background spans customer-facing ML at AWS, applied research in public policy and actuarial settings, and hands-on development of ranking, fuzzy-matching, and A/B testing systems. Gabriela brings a researcher's rigor—she developed new probability distributions early in her career—and a practitioner’s focus on delivering measurable business impact. Based in Seattle, she pairs technical leadership with mentoring and cross-functional collaboration, and off-hours she channels curiosity into travel and world cuisines, shaped by an exchange year in Lisbon and an adventurous teenage European voyage.
9 years of coding experience
10 years of employment as a software developer
Exchange program, Applied Statistics, Exchange program, Applied Statistics at Universidade de Lisboa
Master's degree, Applied Statistics, Master's degree, Applied Statistics at Rochester Institute of Technology
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Universidade de Brasília
The open source version of the AWS OpsWorks User Guide. You can submit feedback and changes by submitting issues in this repo, or by submitting a pull request.
Contributions:3 reviews, 35 commits, 20 PRs in 3 years 10 months
The open source version of the AWS CloudTrail User Guide. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
Contributions:10 commits, 2 PRs, 10 pushes in 2 years 10 months
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Gabriela Olinto - Applied Science Manager at Amazon