Rashed Jadallah

My UAV AI Detection project explored vehicle detection in synchronized RGB and thermal aerial imagery. I prepared and annotated datasets, created train, validation, and test splits, and used image tiling for small-object detection.

I implemented separate RGB and thermal detection pipelines and combined their predictions with late fusion. The project also integrated Real-ESRGAN image enhancement and OpenCV visualization, with documented detection results of approximately 73–81% mAP at 100–120-meter UAV altitudes.

For academic projects, I used machine learning to predict heart disease and classify mobile devices into price ranges. I also analyzed AMD and Intel processor data and created visualizations to compare processor characteristics.

At Safwa Bank, I gained practical exposure to IT department operations and supported day-to-day IT activities. I hold a B.Sc. in Data Science and Artificial Intelligence from American University of Madaba and am seeking an entry-level opportunity in data science, AI, machine learning, data analysis, or data engineering.