Shuqin Xie
Member Of Technical Staff, Applied Scientist at Amazon
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShuqin Xie is an applied scientist with nine years of experience specializing in computer vision and machine learning, currently working on perception at Amazon AGI Lab. She has a proven track record of driving 0-to-1 initiatives—transforming heuristic systems into transformer-based, multimodal models and applying semi-supervised and auto-labeling techniques to scale pretraining on unlabeled data. Her work at Cruise tackled real-world challenges like construction-zone navigation and temporary traffic restrictions, connecting research-grade models to production constraints. A CMU MS in Computer Vision and internships at Nvidia and Uber underpin her strong research-to-product fluency, and she routinely owns the full ML lifecycle from data labeling to post-launch monitoring with feedback loops. Notably, she blends academic rigor with pragmatic engineering: developing early-fusion multimodal architectures that directly improved on-road autonomy in safety-critical scenarios.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Vision, Master of Science - MS Computer Vision at Carnegie Mellon UniversityBachelor of Science - BS Automation, Bachelor of Science - BS Automation at Shanghai Jiao Tong University
Github Skills (92)
python10
deep-learning10
gpu10
nvidia10
machine-learning10
video-understanding9
numpy9
acceleration9
neural-network9
mask9
tensor9
object-detection9
computer-vision9
toolbox9
benchmark9
Programming languages (4)
Github contributions (5)
xieshuqin/cifar10
May 2017 - May 2017
Contributions:18 pushes, 1 branch in 1 day
xieshuqin/16833_hw1
Feb 2021 - Mar 2021
Contributions:16 pushes, 1 branch in 13 days
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