Hi, I’m Sharjeel Rasib, a Geoinformatics Engineer based in Berlin with hands-on experience in Full-Stack WebGIS, remote sensing, and AI-driven spatial analysis. I enjoy turning raw spatial data into decision-ready insights using machine learning and GIS techniques, building modular frontends with TypeScript, React, and Tailwind, and designing robust backend data pipelines for scalable GIS solutions.
Currently pursuing a Master of Science in Geodesy and Geoinformation Science at TU Berlin, I lead cross-functional teams on projects like landslide susceptibility analysis and real-time risk monitoring. I thrive on delivering high-performance mapping interfaces, integrating external APIs for precise geocoding, and visualizing complex spatiotemporal data. In my spare time I love table tennis, badminton, travel, and continuing to expand my skill set in AI and cloud-enabled GIS workflows.
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Environmental monitoring often lacks timely, detailed insights—this platform delivers real-time mangrove ecosystem analysis using satellite data and geospatial intelligence. Built with Google Earth Engine, it calculates Above-Ground Biomass (AGB) and Carbon (AGC) from user-uploaded shapefiles, visualizing results on Mapbox with dynamic legends, stats, and classifications. A scalable, science-based tool for researchers, conservationists, and policymakers.
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