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.
9 years of coding experience
4 years of employment as a software developer
Phd, Atmospheric Sciences and Meteorology, Phd, Atmospheric Sciences and Meteorology at University of Houston
Bachelor of Technology (BTech), Environmental Engineering, Bachelor of Technology (BTech), Environmental Engineering at Kathmandu University (KU)
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