Garrett Scott
Scottsdale, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolGarrett Scott is a strategic engineering leader with 11 years of experience building product-focused software and guiding technical teams from Scottsdale, Arizona. He blends product vision with hands-on engineering, shipping reliable systems while coaching teams to align technical decisions with business outcomes. A full-stack contributor, Garrett has made notable open-source improvements to brain.js, enhancing GPU-accelerated neural network reliability and browser compatibility—evidence of his attention to both low-level performance and developer experience. He holds a degree from Arizona State University and consistently applies pragmatic design to complex problems. Colleagues describe him as a bridge between product strategy and implementation, comfortable diving into code to unblock critical deliveries. Beyond leadership, he brings a developer’s curiosity for performance tuning and cross-environment consistency that often reveals subtle, high-impact bugs before they reach production.
11 years of coding experience
3.35, 3.35 at Arizona State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
neural-network10
javascript10
browser10
gpu-acceleration10
web-content9
webpages9
nodejs9
Programming languages (4)
Github contributions (5)
BrainJS/brain.js
Jan 2018 - Feb 2018
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:17 commits, 11 PRs, 10 pushes in 21 days
Contributions summary:Garrett made several commits focused on improving the `brain.js` library's GPU acceleration capabilities. They addressed object-sharing issues in the neural network GPU implementation, specifically related to the output of the `runInput` function. The user also updated the distribution and browser files to reflect these fixes, ensuring the library's functionality. These changes demonstrate a focus on both the underlying logic and the user-facing aspects of the library.
brainstreamtensorflowbrowserbrowsers
EffortlessDesignWorkshops/prototyping-with-sensors
Aug 2017 - Oct 2017
Contributions:7 releases, 46 commits, 2 PRs in 2 months
companionprototypingsensorsworkshop
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