Brandon Dutra
Senior Software Engineer at Google
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolBrandon Dutra is a Senior Software Engineer based in Portland with nine years of experience applying machine learning, optimization, and operations research to production systems at Google. He earned a PhD in Applied Mathematics from UC Davis and has shipped work across Cloud Machine Learning, Google Cloud Platform, Android, and Nest, blending deep quantitative skills with large-scale engineering. Earlier roles include developing collaborative-filtering recommendation models as an intern and improving MILP solver heuristics at SAS, where his changes boosted benchmark performance. He also contributes to documentation and sample notebooks for prominent Google Cloud repos, demonstrating attention to clarity as well as code. Known for turning mathematical rigor into practical solutions, he thrives on problems that sit at the intersection of theory and production.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Mathematics and Computer Science, Bachelor of Science (BS), Mathematics and Computer Science at University of California, Davis
Github Skills (3)
markdown10
documentation10
markdown-it10
Programming languages (7)
Github contributions (5)
googledatalab/notebooks
Aug 2016 - Jul 2017
Google Cloud Datalab samples and documentation
Role in this project:
Technical Writer
Technical WriterContributions:43 commits, 39 PRs, 58 pushes in 11 months
Contributions summary:Brandon primarily focused on editing markdown files within the repository. These edits involved correcting punctuation, removing references to cloud notebooks, and updating documentation in the Iris and Census samples. The changes indicate a focus on improving the clarity and accuracy of the existing documentation, and enhancing its overall presentation. The user also updated test files.
google-cloud
brandondutra/cloudml-samples
Oct 2018 - Oct 2018
Samples for Google Cloud Machine Learning Engine
Contributions:2 PRs, 1 push in 1 day
gcpibm-cloudgoogle-cloud-platformmachine-learninggoogle-cloud
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