Siyuan Xiang
Applied Scientist II at Amazon Ads
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolSiyuan Xiang is an applied scientist with ~12 years of expertise spanning photogrammetry, computer vision, and multimodal AI, currently building AI-powered video recommendation for Amazon Ads in Bellevue. He has driven research-to-product work across Amazon (including AGI efforts for bias-reduced multimodal foundation models), Alexa AI, Walgreens AI Lab, and Samsung AI Center, and holds a Ph.D. from NYU’s AI lab with prior MS in Computer Graphics and a background in photogrammetry. Siyuan blends academic rigor—publishing on multisensory robotic perception—with production ML experience shipping recommendation and multimodal systems at scale. He brings a cross-disciplinary toolkit that includes 3D vision, sensor fusion, and agentic/coding workflows for LLMs, and is comfortable moving innovations from datasets and papers into deployed services. An uncommon strength is his combination of remote-sensing photogrammetry foundations and modern multimodal AI, enabling robust solutions where spatial reasoning and perception meet large-scale product constraints.
8 years of coding experience
3 years of employment as a software developer
B.Eng. Photogrammetry and Remote Sensing, B.Eng. Photogrammetry and Remote Sensing at Wuhan UniversityPh.D. at AI4CE lab, Ph.D. at AI4CE lab at New York UniversityM.S. Computer Graphics, M.S. Computer Graphics at Nanyang Technological University Singapore
Stackoverflow
31reputation
1kreached
2answers
1question
Github Skills (8)
algorithm6
consensus6
linker6
distributed-systems6
paxos6
gcc6
deep-learning3
pytorch3
Programming languages (1)
Github contributions (5)
nyummvc/nyummvc.github.io
Nov 2022 - Jul 2023
Contributions:95 pushes, 1 branch in 7 months
nyummvc/Arbicon-Net
Oct 2019 - Jun 2020
Official code of paper Arbicon-Net
Contributions:3 commits, 1 PR, 2 pushes in 7 months
deep-learningpytorch
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