Architected AI-powered agricultural monitoring platform using Google Earth Engine, processing satellite imagery for precision agriculture insights

Built scalable microservices backend with Google Cloud Run, Cloud Functions, and Supabase for high-throughput geospatial data processing

Developed Next.js visualization system for interactive multi-year agricultural indices (NDVI, NDWI, EVI) with dynamic charting and sub-second load times

Implemented flexible comparison engine enabling users to analyze multiple vegetation and soil health indices across custom timeframes and locations

Contributed to creation of serverless Python pipelines on GCP for automated satellite image acquisition, preprocessing, and index calculation

As a Web GIS developer working at GagaMuller technology my role is majorly working over making user experience regarding project management more feasible.

Products:

WayLoader:

Overview: This is a real estate project management end to end software that helps our customers to manage their project all over map and various types of charts i.e gantt, timeline etc to have great overview of what's actually happening on the site.

Features:

Wayloader has 3 modules i.e Workspace, Plan and Goal (they work exactly same as their names specify).

My Role:

I have worked on maps we have used in angular using leaflet library and have implemented:

• Annotations on map.

• Marker Clusters.

• Topology between different layers i.e building, site areas, additional layers etc.

• Uploading multiple files in different formats (Shapefile, GeoJson, Dxf, Dwg, Tiff, Png, Pdf) and displaying them.

• Styling markers to represent different Companies and Workitem status.

What's next on this?

We are working on 3D formats to load large data over map in optimized way. Formats are Point Cloud data, 3d Mesh etc

During my degree I started job at graana.com (previously propsure) I worked there as a Web GIS developer. My work here included some of the real problem solvers for the people of Pakistan. We used 4 million polygonal data for our purpose of building Site Suitability assessment platform based on Point of Interests and other land ownerships data we had.

Projects:

Feasibility Application: This product was focused on getting best suitable sites for any businesses based on locality need, population density, per capita income and other 49 attributes of every land parcel we had. I have done work on routing in this platform in which we leveraged data collected by our team of whole Pakistan and indexed it and converted it to geojson to be displayed for every specific query using geoserver.

Arms: This platform was real estate buying and selling platform for our head company Imarat franchising vision. Where franchises were managed and every franchise had its own portal for buying/ selling inventory. I worked here on backend integration that was built in Node.js with Php Laravel Framework because of distributed services between two languages. On the frontend I worked over creating user interactive forms and managing data fetched from API's with my team leads

Tools used in these projects: React js, Node.js , Express and PostgreSQL.