Shuai Li
Applied Scientist II at Amazon
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolShuai Li is an Applied Scientist with 8 years’ experience building production-grade ML and computer vision systems across Amazon, Shopee, Revolut and NUS, currently developing GenAI and diffusion-based video generation for Amazon Ads. He has a strong track record in large-scale LLM systems (13B–100B), multimodal two-tower architectures, OCR and anti-spoofing/liveness solutions that achieved production accuracy and high QPS. Shuai combines research rigour with engineering pragmatism—designing end-to-end training and deployment pipelines using DeepSpeed, SageMaker, DJL and optimized runtimes like ONNX/TFLite. He’s delivered tangible business impact from fraud prevention to ad sourcing and identity verification, and even developed a novel light-reflection liveness model from scratch. Based in London, he brings cross-border product experience across Southeast Asia, Europe and cloud-scale infrastructure expertise.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tongji UniversityMaster's degree, Computer Science, Master's degree, Computer Science at National University of Singapore
Chinese, English
Github Skills (33)
keras-tensorflow10
keras-models10
keras10
image-segmentation10
densenet10
mobilenet10
segmentation10
resnet10
efficientnet10
backend9
conda7
tensorflow7
deep-learning7
os-agnostic7
python7
Programming languages (2)
Github contributions (5)
HandsomeBrotherShuaiLi/pipelineCPU
Dec 2018 - Jul 2020
Contributions:5 commits, 7 pushes, 1 branch in 1 year 6 months
TomHacker/VMLab_internship_SLAM
Jul 2018 - Dec 2019
My summer internship in VMlab of HKU
Contributions:2 PRs, 4 pushes, 2 branches in 1 year 5 months
hkusummerinternshipsummer-internship
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