Xiaoyong Jin
Research Scientist at Amazon
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolXiaoyong Jin is a research scientist at Amazon with 11 years of experience building ML-driven solutions across time series, text logs, and geospatial domains. He develops and deploys large-scale foundation models and hybrid architectures—ranging from frequency-domain attention for forecasting to LLM-based generative modeling of tokenized logs—for production anomaly detection and satellite imagery products. His work bridges academic rigor from a PhD in Computer Science with hands-on engineering at AWS, where he has fine-tuned vision models for road extraction and designed domain-adaptive forecasters. Known for tackling domain shift and combining signal-processing ideas with modern attention mechanisms, he brings both theoretical insight and product-focused delivery. Based in Kirkland, WA, he also has a strong applied math foundation (ranked first in his applied mathematics undergraduate program), which informs his practical approach to model design and evaluation.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at UC Santa BarbaraDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Santa BarbaraBachelor’s Degree, Applied Mathematics, rank 1st, Bachelor’s Degree, Applied Mathematics, rank 1st at Zhejiang University
Chinese, English, Japanese
Github Skills (60)
artificial-intelligence10
python10
mxnet10
machine-learning10
gluon10
forecasting10
forecasts10
time-series-forecasting10
aws10
probabilistic10
modeling10
data-science9
pytorch9
sagemaker9
time-series9
Programming languages (3)
Github contributions (5)
Gandor26/gluon-ts
Jul 2020 - Apr 2023
Probabilistic time series modeling in Python
Contributions:47 pushes, 8 branches in 2 years 9 months
pythontime-series-analysismachine-learningprobabilistictime-series
Gandor26/config
Aug 2017 - Jun 2019
Contributions:7 pushes, 1 branch in 1 year 10 months
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