Safva Mujeeb

Geospatial AI Engineer with 2+ years of experience integrating artificial intelligence and machine learning with spatial data science to deliver end-to-end geospatial pipelines. Reduces spatial data processing time by 30-50% through AI-assisted, automated algorithms in Google Earth Engine and Python for large-scale satellite image analysis, time-series forecasting, river morphology assessment and environmental modelling. Holds an MSc in Data Analytics with Geoinformatics, combining machine learning expertise with multi-source satellite data to drive climate risk assessment, water resource monitoring, and infrastructure pipeline risk analysis.

Proficient in ArcGIS Pro, QGIS, and PostGIS for building production-ready, automated geospatial workflows that support stakeholder decision-making.

Geospatial AI Engineer - R&D - Geo Climate Risk Solutions Pvt Ltd - Visakhapatnam, India

(2025-06)

• Led end-to-end development of geospatial solutions using Google Earth Engine and Python, reducing satellite data processing time by 45-50% for environmental monitoring and spatial analytics across countrywide and state-level projects.
• Engineered AI-assisted river morphology algorithms for the GeoSust pipeline: multi-method centerline extraction, sinuosity and braided-index computation, pipeline-to-thalweg proximity and burial-depth risk scoring, and an interactive elevation-profile/hydrology tool- improving detection accuracy and reducing manual digitisation effort
• Developed automated image classification workflows for water extent mapping, biomass estimation, soil degradation analysis, and change detection, serving multiple clients through the GeoSust and LAMAS applications.
• Integrated multi-source datasets, including Sentinel-2, Landsat, GEDI, CHIRPS, and drone imagery for large-scale spatial modelling across diverse geographic regions and client AOIs.
• Implemented pixel-wise analysis and machine learning models for environmental prediction and trend assessment, supporting climate risk evaluation for countrywide and AOI-specific projects.
• Conducted spatial analysis for infrastructure and environmental applications, including river morphology assessment, reservoir impact analysis, and climate vulnerability mapping for multiple client engagements.
• Generated high-quality maps, visualizations, and analytical outputs using QGIS and ERDAS IMAGINE to support reporting, decision-making, and stakeholder communication across state-level and national-scale environmental initiatives.

GIS & Remote Sensing Intern - Geo Climate Risk Solutions Pvt Ltd - Visakhapatnam, India

(2025-01 - 2025-05)

• Developed a cloud-based land health monitoring and prediction tool using Google Earth Engine, which was adopted by the company for client-facing environmental assessments across multiple industry projects.
• Performed multi-index analysis using Sentinel-2 and Landsat data to assess vegetation, soil, and water degradation
• Built pixel-level regression models for time-series forecasting of environmental changes
• Designed a modular and interactive interface for AOI-based analysis and real-time visualization using GEE JavaScript API
• Collaborated with senior GIS developers to build the foundation for machine learning models and tool creation, receiving hands-on guidance on algorithm development and geospatial workflow design

MSc - Data Analytics with Geoinformatics - Kerala University of Digital Sciences, Innovation and Technology (2025)

BSc - Geography - Calicut University, Kerala (2023)