Geomatics engineer bridging high-resolution remote sensing with machine learning — from UAV flight missions over solar sites to bathymetric lake surveys and AI-driven landslide detection.
I am a Geomatics Engineer with hands-on experience in UAV-based data acquisition, LiDAR point cloud processing, and geospatial analytics. My work translates raw multi-sensor data into actionable spatial intelligence for infrastructure, environmental, and hazard applications.
From operating Matrice 300 RTK drones over solar sites in Rolpa to conducting RTK echo-sounding surveys on Phewa and Kulekhani lakes, I thrive at the intersection of fieldwork and data-driven analysis.
My long-term research vision is to integrate GIS, LiDAR, SAR, hyperspectral sensing, and GeoAI to build machine learning pipelines for 3D terrain characterization and data-driven natural hazard assessment.
Final year project predicting WSDR from 2001–2041 using ML integrated with system dynamics modelling. Historical water supply, consumption, and climatic data analyzed to simulate future supply-demand gaps.
Operated Matrice 300 RTK with Penmuse P1 camera and H600 LiDAR. Processed data through LiGeoreference and LiDAR360 to generate 3D point clouds, DEM, DSM, contour maps, and orthomosaics for site planning.
RTK-integrated echo sounding to generate detailed underwater terrain models. Fused above- and below-water elevation data for seamless 3D lake terrain reconstruction and sedimentation volume analysis of Kulekhani reservoir.
Comprehensive hydrological study assessing flood risk for a proposed solar development site. UAV imagery processed to generate DEM and orthomosaic. GIS-based catchment analysis and peak discharge estimation to produce flood risk maps.
High-precision TLS of Krishna Mandir using FARO Focus Premium. Systematic multi-position data acquisition to ensure full architectural coverage. Point cloud registered in FARO Scene to produce accurate georeferenced 3D heritage models.
I'm actively looking for research collaborations and opportunities in UAV surveying, LiDAR applications, and geospatial machine learning. Whether you're from a research group, a geospatial firm, or a graduate program — I'd love to hear from you.