A Bachelor's student in Geomatics Engineering working at the intersection of remote sensing, machine learning, and climate science — with a research trajectory aimed at a fully funded PhD in Geospatial AI.
Focus Areas
My work sits at the boundary of Earth observation data and modern AI — turning satellite imagery into decisions for agriculture, disaster response, and climate resilience.
NDVI-based crop yield prediction across wheat growth stages using ensemble machine learning on Sentinel-2 time series.
Tracking glacial retreat and climate risk indicators across the Himalaya using multi-temporal satellite imagery.
Real-time hazard dashboards and flood detection pipelines combining USGS, GEE, and weather API data streams.
Selected Work
Ensemble ML pipeline (RF, GB, XGBoost) predicting wheat yield from multi-stage NDVI & canopy temperature.
React + Leaflet dashboard streaming live earthquake and weather hazard data across Nepal.
Free Streamlit dashboard for Nepal crop health monitoring, built on Google Earth Engine composites.
"I want to use Artificial Intelligence and Geospatial Technology to solve real-world environmental and climate challenges."