GeoAI/Data Labeling Project Lead (Govt of Punjab, Pakistan)
Land Cover Classification
Developed and managed data labeling workflows for AI-based satellite imagery analysis in precision agriculture and hydrological modeling. Created and curated labeled datasets using geospatial images from Sentinel and Landsat satellites for use in machine learning models. Integrated labeled geospatial datasets into irrigation, water demand, and drought prediction applications.• Managed geospatial data preparation and annotation for smart irrigation systems
• Designed and validated labeling protocols for evapotranspiration and drought studies
• Collaborated with data scientists to improve remote sensing-based model performance
• Delivered data annotation training to staff on AI and GIS workflows.
Developed and managed data labeling workflows for AI-based satellite imagery analysis in precision agriculture and hydrological modeling. Created and curated labeled datasets using geospatial images from Sentinel and Landsat satellites for use in machine learning models. Integrated labeled geospatial datasets into irrigation, water demand, and drought prediction applications.• Managed geospatial data preparation and annotation for smart irrigation systems • Designed and validated labeling protocols for evapotranspiration and drought studies • Collaborated with data scientists to improve remote sensing-based model performance • Delivered data annotation training to staff on AI and GIS workflows.
2020 - Present