Satish Kumar

Postdoctoral Researcher at Stanford University

Palo Alto, California, United States
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Summary

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Senior
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Top School
Satish Kumar is a Postdoctoral Researcher and Schmidt Science Fellow at Stanford with a PhD from UC Santa Barbara and over a decade of experience building large-scale computer vision and ML algorithms. He leads BisQue, an open-source platform for scalable 5D data storage, AI/ML analysis, and visualization, and applies it to projects like greenhouse gas detection and wildlife monitoring from multispectral and hyperspectral aerial imagery. His background spans research collaborations with NASA JPL, The Aerospace Corporation, and industry work on remote sensing for environmental monitoring and water quality. Comfortable moving ideas from research to production, he also has embedded-systems and OS experience from Samsung, giving him a rare blend of algorithmic depth and systems engineering.
code8 years of coding experience
job11 years of employment as a software developer
bookBachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at National Institute of Technology Kurukshetra
bookDoctor of Philosophy - PhD, Computer Vision using Machine Learning, Doctor of Philosophy - PhD, Computer Vision using Machine Learning at University of California, Santa Barbara
bookSenior Secondary High School, Science, Senior Secondary High School, Science at Blue Bells Model School, Gurgaon , India
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Github Skills (31)

threejs9
python9
bioinformatics9
docker8
medical-imaging8
deep-learning8
tensorflow8
machine-learning8
image-processing8
cloud-computing7
computer-vision7
neural-network6
segmentation6
image-analysis6
kubernetes6

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
Contributions:78 pushes, 1 branch, 28 comments in 2 years 1 month
Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery
Contributions:107 commits, 103 pushes, 1 branch in 1 year 1 month
deep-learning
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