AI-Powered Crop Monitoring & Boundary Detection Platform

AI-Powered Crop Monitoring & Boundary Detection Platform

web-development

الدور: Full stack Engineer

Led development of an AI-powered crop monitoring platform using GIS and machine learning. Built ML models for crop boundary detection, improving mapping accuracy and reducing manual labeling. Designed scalable architecture and developed secure Django APIs. Created a React + MapLibre dashboard, reducing data load time from 15s to 0.2s. Deployed on AWS (EC2, S3, CloudFront) ensuring high availability and low latency. Delivered production-ready system with full client approval.
PythonCloud ArchitectureDjangoJavaScriptTypeScriptETL PipelinesReact.js DevelopersGIS DevelopersMachine Learning
H
Haroun L.

Full-Stack Engineer - GIS & Automation

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