Computer Vision Engineer II at Amazon Fulfillment Technologies & Robotics
Seattle, Washington, United States
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Summary
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Senior
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Top School
Scott Butters is a Computer Vision Engineer II in Seattle with a decade of hands-on experience turning deep learning prototypes into production robotics and perception systems. He has led end-to-end ML efforts from edge-optimized 3D human pose networks and real-time motion detection to large-scale multimodal pipelines that cut inference times by an order of magnitude and drove product launches. His background spans aerospace automation, field-deployed multi-camera vehicle analytics, and consumer robotics, combining ROS/ROS2, Docker, and embedded inference at ~20 Hz with sub-50 mm accuracy. A proven technical leader and mentor, he also contributes to open-source UI tooling—enhancing the popular Victory charting library’s pie component—bringing a rare blend of low-level robotics, production ML infrastructure, and front-end craftsmanship.
9 years of coding experience
13 years of employment as a software developer
B.S Engineering, B.S Engineering at Harvey Mudd College
A collection of composable React components for building interactive data visualizations
Role in this project:
Front-end Developer
Contributions:7 commits, 1 issue in 1 month
Contributions summary:Scott primarily contributed to the `victory` library by implementing and refining features related to the `VictoryPie` component. Their work includes adding a `radius` property, introducing an `origin` prop to control the pie chart's center, and adjusting the definition of the `origin` prop. These modifications enhance the component's flexibility and visual customization options. They also made changes to the codebase to support the newly introduced props.
Contributions:2 PRs, 2 pushes, 4 branches in 1 year 9 months
java
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Scott Butters - Computer Vision Engineer II at Amazon Fulfillment Technologies & Robotics