Sagun Kayastha

Graduate Research Assistant

Houston, Texas, United States
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Summary

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Senior
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Top School
Sagun Kayastha is an environmental engineer and PhD candidate in Atmospheric Sciences at the University of Houston, blending nine years of practical environmental work with advanced numerical modeling and AI/ML for Earth and atmosphere systems. He has applied machine learning in industry roles and startups—most recently as an AI developer and a graduate research assistant—bridging field-focused environmental engineering with data-driven atmospheric research. His background includes WASH program implementation and environmental consulting, giving him hands-on experience in real-world environmental challenges that informs his modeling work. Based in Houston, he focuses on translating complex atmospheric data into actionable insights using AI, and he brings a rare combination of field experience and computational skill to multidisciplinary teams.
code9 years of coding experience
job4 years of employment as a software developer
bookPhd, Atmospheric Sciences and Meteorology, Phd, Atmospheric Sciences and Meteorology at University of Houston
bookBachelor of Technology (BTech), Environmental Engineering, Bachelor of Technology (BTech), Environmental Engineering at Kathmandu University (KU)
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Github Skills (40)

computer-vision8
yolov58
object-detection8
face-detection8
yolov47
feature-extraction7
pytorch7
ios7
onnx7
human-pose-estimation7
re-identification7
machine-learning7
segmentation7
deep-learning7
faster-rcnn6

Programming languages (5)

JavaRustCJupyter NotebookPython

Github contributions (5)

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sagunkayastha/Areaconverter

Sep 2018 - Apr 2024

Contributions:2 pushes, 1 branch in 5 years 7 months
Contributions:4 pushes in 5 years 8 months
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Sagun Kayastha - Graduate Research Assistant