The project involved the development of a cloud-based 3D platform to manage 3D point clouds, 3D models, orthomosaic, and vector data. Technologies used: PHP Laravel, JavaScript, Cesium.js, OpenLayers; Potree, Postgresql/PostGIS.

The project involved the development Of a Web Mapping solution to manage the Pineapple farm and manage the farming tasks. Technologies used: GraphQL, Appolo, Prisma, React.js, Leaflet, Postgresql/PostGIS.

The project involved the development of a Python application to clean up big data of company name using the Machine Learning technology. Technologies used: Python, Pandas, NLP ( Flair).

Worked on the development of a farm management platform (Web Application and Android Mobile App) that allows farmers to better manage their pineapple farming system. The solution included GIS features such as Vector data visualization and Drones images using Leaflet. Deployed an API using Django to serve 3D points cloud processing in the 3D Asset Management system. Technologies used in the project: React.js, Apollo, GraphQL, Prisma, PostgreSQL/PostGIS.

The project involved automating the processing workflows of the collected GIS Data and minimizing the time by automating the manual working tasks. Performed CAD Plan design Automation using Autodesk Autodesk APIs ( ObjectArx & C#.net) Developed an application for the optimization of GIS and survey Data Processing processes using: QGIS Api, PostGIS, Python, and FME.

The project was an asset management web-based application that allows users to track all their assets from the planning phase until the end of life using the power of GIS (2D and 3D) and BIM tools ( Autodesk Forge).

The project is a Web 3D based app for managing and analyzing bathymetry and Lidar points cloud using Python, Portree, and Cesium. Also created a web-based application that predicts Inner harbor wave disturbance, also working on utilizing machine learning to have predictions using SciKit-Learn.