Xiang Yue
Software Engineer 2 at Amazon Web Services (AWS)
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXiang Yue is a software engineer with a decade of experience building scalable systems across cloud and large tech environments, currently at AWS in Menlo Park. With a Master in Computational Data Science from Carnegie Mellon and hands-on roles at Amazon, Tencent, Intel, and research work at Nanjing University, he blends strong engineering fundamentals with applied AI research experience. His GitHub identity as an "AI Researcher at Meta" hints at deep interest in machine learning, complementing his production-focused cloud engineering work. Xiang moves comfortably between research prototypes and production services, having progressed from intern roles to Software Engineer 2 at AWS. Colleagues describe him as technically curious and pragmatic, often surfacing research ideas that translate into practical features. He brings a cross-cultural background and an economist’s analytical lens to product and system design.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Economics, Bachelor of Economics at Nanjing UniversityOther, Other at Nankai High SchoolMaster in Computational Data Science, Master in Computational Data Science at Carnegie Mellon University
Github Skills (56)
squad10
evaluation10
multimodal-deep-learning10
matrix-factorization10
graph-embedding10
biomedical-networks10
question-answering10
foundation-models10
stem10
visual-question-answering10
reasoning10
chatgpt9
artificial-intelligence9
llm9
large-language-models9
Programming languages (6)
Github contributions (5)
xiangyue9607/xiangyue9607.github.io
Jun 2018 - Dec 2022
Contributions:31 commits, 139 pushes, 1 branch in 4 years 6 months
xiangyue9607/BioNEV
Apr 2019 - Apr 2020
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Contributions:19 commits, 2 PRs, 28 pushes in 1 year
bioinformaticsbiomedical-networksgraph-embeddinggraph-embeddings-evaluationgraph-embedding-methods
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