Kebei Jiang
Data Scientist
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKebei Jiang is a data scientist with 11 years of experience applying deep learning, signal processing and statistical modeling to energy and geoscience problems, currently building ML-driven solutions for oil & gas at Microsoft. He has led end-to-end knowledge systems on Azure Cognitive Search and productionized models and APIs with FastAPI, Azure DevOps and ARM templates. His background in seismic imaging and facies classification combines pixel-level CNN segmentation with tree-based and forecasting methods, while earlier physics research honed a strong analytical foundation in signal and field interactions. Comfortable across PyTorch, spaCy and Hugging Face, he blends rule-based and deep-learning approaches and routinely handles indexing pipelines and custom enrichment for domain search. Notably, his career bridges academic rigor from a PhD in Physics with practical ML deployment experience in large-scale energy applications.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Louisiana State UniversityBachelor's degree, Physics, Bachelor's degree, Physics at South China University of Technology
Chinese, catonese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (35)
artificial-intelligence10
convolutional-neural-networks10
image-processing10
image-classification10
similarity10
object-detection10
computer-vision10
jupyter-notebook10
data-science9
microsoft9
kubernetes9
python9
machine-learning9
deep-learning9
azure9
Programming languages (3)
Github contributions (5)
kbjiang/02_study
Jun 2023 - Apr 2025
Contributions:150 pushes in 1 year 10 months
kbjiang/MachineLearning_Stanford
Apr 2016 - Jan 2019
Contributions:1 push, 1 branch in 2 years 10 months
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