Fahad M.

Fahad worked on a healthcare platform focused on supporting international patients throughout their medical journey. He led a medical team assisting Arabic-speaking patients, ensured high-quality medical data processing, and maintained the accuracy and reliability of medical content. His responsibilities included validating clinical information, supporting patient communication, and aligning medical data with evidence-based standards to improve patient trust, safety, and overall experience.

NDAp is a geospatial AI platform designed to provide real-time visibility into agricultural field conditions using drone and satellite imagery. The system enables automated monitoring of fields, detection of changes, and generation of actionable recommendations to optimize farming operations. The platform processes large volumes of geospatial data to identify field boundaries, measure acreage, track changes over time, and analyze crop health. By combining spatial analytics, image processing, and AI-driven insights, NDA helps agricultural businesses move from manual inspection to data-driven decision-making. The solution integrates advanced geospatial technologies (PostGIS, GeoPandas, raster processing) with scalable backend services and distributed data pipelines to handle high-load image analysis and continuous monitoring workflows.