Athens-Clarke County Unified Government, Georgia, United States
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Summary
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Senior
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Top School
Chintan Maniyar is a PhD candidate and NASA FINESST–funded Graduate Research Assistant combining nine years of experience in remote sensing, geospatial AI, and software development to monitor and model cyanobacterial harmful algal blooms using Sentinel, VIIRS, Landsat, PACE and GOES data. He builds end-to-end solutions—from low-cost edge sensors and Google Earth Engine dashboards to robust AI models and MERN-based cross-platform apps—bridging field sampling, radiometry, and production ML. Previously he prototyped multimodal and RAG-based features at Esri, translating documentation and images into actionable content and recommender systems, and has applied HPC for ecological mapping at USDA ARS. Comfortable teaching advanced geospatial AI and geo-semantics, he mentors open-source projects and has a strong background in NLP and timeseries anomaly detection for carbon monitoring. Unusually, he blends an inventor’s curiosity for hardware (edge sensors) with creative pursuits in writing and music, reflecting a multidisciplinary approach to problem solving.
9 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Remote Sensing & GIS, 3.7/4.0, Master of Technology - MTech, Remote Sensing & GIS, 3.7/4.0 at Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
Doctor of Philosophy - PhD, Remote Sensing and Artificial Intelligence, Doctor of Philosophy - PhD, Remote Sensing and Artificial Intelligence at University of Georgia - Franklin College of Arts and Sciences
Bachelor of Technology - BTech, Computer Engineering, 4.0/4.0, Bachelor of Technology - BTech, Computer Engineering, 4.0/4.0 at CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY
Dynamic Measurement in OpenLayers with labels that follows changing geometry
Contributions:25 commits, 2 PRs, 23 pushes in 1 year 10 months
spatialmeasurementopenlayersgeometrygis
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