Francine Wright is a software engineer with a strong foundation in computer vision, robotics, and machine learning, graduating from Harvey Mudd College with a BS in Mathematics and Computer Science and a 3.94 GPA. She brings eight years of hands-on experience building perception systems and robotics software—from leading a 6-person team at Apsis Robotics to real-time CV pipelines for underwater and ecological applications. Internships at Cruise focused on simulation fidelity and predicting road-user behavior, showing she can bridge research-quality models and production-grade systems. Currently at Groundlight AI, she continues to apply ML and systems skills to practical problems while drawing on research experience quantifying biases in action-recognition networks. Known for translating complex sensor and vision stacks into robust, testable software, Francine combines meticulous engineering with an unusual track record of shipping fielded robotics solutions that address environmental and safety challenges.
8 years of coding experience
7 years of employment as a software developer
IB Diploma, 4.0, IB Diploma, 4.0 at George Washington High School
Bachelor of Science - BS, Mathematics and Computer Science, 3.94, Bachelor of Science - BS, Mathematics and Computer Science, 3.94 at Harvey Mudd College
The Saliency Model Implementation Library for Experimental Research.
Contributions:2 PRs, 35 pushes, 8 branches in 3 months
saliencymachine-learningsaliency-model
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