Yanxiang Y
Applied Scientist at Amazon
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolYanxiang Y is an applied scientist based in Houston with a decade of experience applying machine learning and numerical modeling to energy-sector problems. He has led R&D programs that produced two commercial well-logging tools and holds three patents plus an SPE publication, combining sensor physics, forward/inverse modeling and ML-driven inversion. Comfortable across Python, PyTorch/TensorFlow, Matlab and SQL, he specializes in time series and computer vision models for exploration, production and new-energy forecasting. At Shell he delivered deep-learning solutions for semantic segmentation and time-series forecasting, and he now applies that domain expertise to ML projects at Amazon AWS ML Solutions Lab. Active in the technical community as a meetup co-organizer and conference reviewer, he also organized a machine-learning competition to promote practical data-science skills in petrophysics.
10 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.), Electrical and Computer Engineering, Master of Engineering (M.Eng.), Electrical and Computer Engineering at University of HoustonBachelor's degree, Measurement &Control Technology and Instrumentation, Bachelor's degree, Measurement &Control Technology and Instrumentation at University of Electronic Science and Technology
Github Skills (20)
satellite-imagery9
docker9
imagery9
satellite9
streamlit9
computer-vision8
databricks8
ai7
deep-learning7
classifiers4
classification-algorithm4
lime3
desktop2
machine-learning2
windows2
Programming languages (3)
Github contributions (5)
yueureka/DataScienceProjects
Jun 2019 - Sep 2019
Contributions:39 commits, 38 pushes, 1 branch in 3 months
yueureka/WildFireDetection
Jun 2020 - Jun 2020
Using U-Net Model to Detect Wildfire from Satellite Imagery
Contributions:54 commits, 2 PRs, 53 pushes in 4 days
databrickssatellite-imagerydeep-learningsparkaisummitsatellite
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