🔭 I'm currently working on
"GeoWise AI - a comprehensive geospatial intelligence platform integrating NLP with satellite data analysis for environmental monitoring (fire detection, deforestation, flood mapping). Also developing a GeoAI plugin for QGIS that enables prompt-based satellite data downloads directly into QGIS, with MCP integration for seamless workflows"
👯 I'm looking to collaborate on
"Open-source geospatial AI projects, QGIS plugin development, remote sensing applications for environmental monitoring, and innovative solutions bridging computer vision with geospatial analysis"
🤝 I'm looking for help with
"Scaling GeoWise AI for production deployment, optimizing the GeoAI QGIS plugin for diverse satellite data sources, and exploring opportunities in the geospatial AI industry at big tech companies and environmental organizations"
🌱 I'm currently learning
"Advanced remote sensing embedding models (SatCLIP, RemoteCLIP, SSL4EO), Node.js backend development, and LangChain/RAG systems to build more sophisticated geospatial AI applications"
💬 Ask me about
"GIS development, computer vision + SLAM for autonomous geotagging, satellite data analysis, AI-powered environmental monitoring, QGIS plugin development, FastAPI/MCP integration, or anything GeoAI related!"
⚡ Fun fact
"My AutoMap project won a national award for autonomous geotagging using computer vision and SLAM - and I validated my GeoWise flood detection algorithm against real disasters like Pakistan's 2022 floods and Sri Lanka's Cyclone Ditwah!"