Annie Didier is a Staff Data Scientist with nine years of experience building computer vision and full-stack ML systems for robotics, planetary exploration, and autonomous operations. She has led teams to productionize perception stacks—integrating LiDAR, IR, and RGB sensors—and designed cloud and edge pipelines that improved cost efficiency and domain generalization. At JPL she delivered edge-deployable solutions (Nvidia Jetson + DeepStream) for people tracking and high-performing image captioning and search for Mars imagery, demonstrating skill in low-label regimes. Her background in applied mathematics and analytics informs a rigorous approach to model design, data generation, and validation, while her teaching experience highlights an ability to translate complex ideas for diverse audiences. Notably, she combines hands-on deployment experience with strategic vendor and cloud comparisons to optimize ML operations in real-world robotic products.
9 years of coding experience
9 years of employment as a software developer
Master's of Applied Math, Applied Mathematics, 3.81, Master's of Applied Math, Applied Mathematics, 3.81 at Arizona State University
Master of Science (M.S.), Analytics, 3.85, Master of Science (M.S.), Analytics, 3.85 at Northwestern University
Bachelor of Science (B.S.), Cum Laude, Mathematics, 3.55, Bachelor of Science (B.S.), Cum Laude, Mathematics, 3.55 at Whitworth University
Contributions:11 pushes, 1 branch, 2 tags in 14 days
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