Evan Bretl is a software engineer with a decade of experience building robotics and autonomy systems, currently contributing to Aurora from Charlottesville, Virginia. He combines hands-on embedded camera work—implementing custom auto-exposure for PointGrey and FLIR cameras on the widely used AutoRally platform—with machine learning and sensor-fusion experience from internships at iRobot, Autonomous Fusion, and JPL. Comfortable across perception, control, and simulation, he has a track record of turning research-grade algorithms into robust, refactored libraries for real-world platforms. A Georgia Tech computer science graduate, Evan is driven by enabling machines to assist people and often focuses on the less visible but crucial interface between hardware constraints and algorithmic performance.
10 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Georgia Institute of Technology
High School, 96.87/100, High School, 96.87/100 at St. Xavier High School
Contributions:16 commits, 1 PR, 14 pushes in 5 months
Contributions summary:Evan primarily worked on the `CameraAutoBalance` component, which suggests a focus on image processing and camera control. They implemented and refined this component by building a custom auto-exposure system for PointGrey cameras and FLIR cameras. This involved interfacing with camera hardware, adjusting camera parameters such as shutter speed and gain, and processing image data. The user also focused on refactoring the code and building this as its own library.
A fork of Georgia Tech RoboRacing's software repo. We write ROS packages to drive small vehicles autonomously.
Contributions:88 pushes, 22 branches in 3 years 4 months
roboticsros2georgiageorgia-techros-packages
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