At WADIC, I co-developed an AI-powered roof segmentation and measurement application, from rooftop imagery acquisition through pitch estimation and report generation. It reduced average roof assessment time by 80%.
I developed its backend with Python and FastAPI, implemented frontend functionality, and deployed the system on AWS EC2. I also trained Mask R-CNN models for roof slope and house-boundary detection.
At Noon Ecommerce, I recommended packaging changes to reduce shipment air volume and automated reporting pipelines, cutting daily reporting time by 66%. As a Machine Learning Engineer Intern at Al Jemzawy Technology, I developed translator and text summarizer prototypes and an object detection and captioning system.
My projects include DocBot, an NLP chatbot for cancer-related queries that achieved 99.8% accuracy, and ZV Text Summarizer, which generates English and Arabic summaries. I hold a B.Sc. in Computer Science (Artificial Intelligence) and am a TEDx speaker.

