@Arazshah
OSGeo Advocate | GeoAI Engineer | Python × GIS × AI
I help GIS professionals automate their workflows using Python and AI, turning hours of manual work into minutes of code. After 7+ years of bridging the gap between GIS and software engineering, I've learned that the best GIS solution is the one that runs itself.
→ Build Geospatial APIs that scale → Automate GIS workflows with Python → Implement GeoAI solutions → Teach Python to GIS professionals
Python | Django | FastAPI | PostgreSQL| PostGIS | GeoPandas Rasterio | QGIS | GeoServer |Machine Learning | LLMs | MCP Protocol
• Official OSGeo Advocate • Open Source GIS Contributor
• Have a GIS automation challenge? DM me • Building something with GeoAI? Let's talk • Want to learn Python for GIS? Follow along
🌐 araz.me
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Jan 6 · 8 min read · Introduction As a geospatial developer working with location-based systems, I’ve witnessed the remarkable evolution of the Open Source GIS ecosystem over the past decade. What was once dominated by expensive proprietary software has transformed into ...
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Dec 28, 2025 · 4 min read · Understanding workforce logistics goes beyond simple clock-in times. By combining HR arrival logs with geospatial home locations, organizations can uncover hidden patterns in lateness, identify commute bottlenecks, and design fairer remote work polic...
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Dec 28, 2025 · 4 min read · In today’s data-driven landscape, knowing where a risk lies is just as important as knowing what the risk is. Whether for insurance underwriting, urban planning, or disaster response, Geospatial Risk Assessment transforms raw location data into actio...
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Dec 28, 2025 · 2 min read · For decades, Google has been at the forefront of studying the geospatial world, covering everything from maps and trends to weather, floods, and wildfires. This extensive information has been made accessible through AI models and real-time services. ...
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Dec 28, 2025 · 4 min read · When working with geospatial data, choosing the right format is crucial for performance, interoperability, and usability. This article compares three popular geospatial data formats—GeoParquet, Shapefile, and GeoJSON. Each format has its own strength...
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