Gabriel Abrantes
Software Engineer at Google
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolGabriel Abrantes is a software engineer based in Seattle with nine years of experience building backend systems and deployment infrastructure, currently working on Google Compute Engine. He has a strong track record at enterprise-scale companies like Qualtrics, where he redesigned event-driven workflows, led CI/CD adoption, and improved API standards to boost capacity and release velocity. His background spans Java Spring Boot, AWS services, Spinnaker/Nomad, and large-scale on-call reliability for services handling millions of daily requests. Passionate about machine learning and web development, he also has hands-on experience optimizing CNNs for real-time embedded vision and improving throughput via multithreading and FP16. Gabriel combines rigorous academic training in computer science and mathematics from Vanderbilt with practical DevOps and ML optimizations, making him adept at turning research ideas into production-ready systems.
9 years of coding experience
5 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Bachelor of Science - BS Computer Science and Mathematics, Bachelor of Science - BS Computer Science and Mathematics at Vanderbilt University
Github Skills (11)
guitar8
music6
rendering6
notation6
chord5
javascript5
svg4
musicxml4
music-notation4
random-forest2
machine-learning2
Programming languages (3)
Github contributions (5)
gabrantes/ML-Chord-Progressions
Jul 2019 - May 2023
A model that predicts chord voicings for four-part harmonies using a random forest.
Contributions:96 pushes, 5 branches, 9 issues in 3 years 10 months
random-forestmachine-learningchordfourforest
gabrantes/colorful-music
Nov 2018 - May 2019
Contributions:48 commits, 36 pushes, 1 branch in 6 months
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