Ramakrishna Raju Gangaraju

// geospatial AI · spatial data science · remote sensing analytics

I'm Raju — a geospatial data scientist specializing in the intersection of machine learning and spatial analytics. With 5+ years of experience, I build and deploy AI-driven classification models on multi-terabyte remote sensing datasets (LiDAR, NAIP, nDSM) to produce high-accuracy land cover and environmental intelligence products.

My work spans the full geospatial data lifecycle: acquisition and preprocessing of orthoimagery (GeoTIFF), LiDAR point clouds (LAS/LAZ), and elevation models (DTM, DSM, DEM) through to spatial feature engineering, deep learning model training (DCNN), automated QC pipelines, and interactive visualization. I collaborate cross-functionally with product, engineering, and client teams to translate complex spatial data into scalable, production-grade solutions.