
GIS (Geographic Information System) and Geo-Artificial Intelligence practitioner with over 5 years of experience. Adept at developing cutting-edge spatial data processing and analytics technology, combining web, GIS, and artificial intelligence to drive efficiency and innovation

Developed a full-stack Web-GIS platform leveraging Next.js, Django, and microservices to deliver scalable geospatial data management and visualization on AWS.

Built a collaborative task management application with React and Firebase, enabling efficient project tracking and performance monitoring across teams.

Designed and implemented geospatial machine learning solutions using PyTorch and Scikit-Learn, deployed on Kubernetes and Docker for scalable model serving.

Engineered a real-time monitoring and alert system for forest fire hotspots and deforestation, powered by microservices and scalable Python-based backend.

Developed an AI-powered online platform simulating all four IELTS skills, integrating Next.js with Generative AI to provide realistic and interactive test experiences.

Built a satellite imagery discovery and order management platform with intuitive search capabilities, enabling streamlined access to geospatial datasets.

Designed and deployed a full-stack land monitoring dashboard with automated deforestation alerts, integrating Next.js, Geoserver, and GCP cloud services.

Developed an AI-powered virtual assistant to guide clients in selecting and estimating satellite imagery needs, integrating OpenAI and WhatsApp automation.