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AI Engineer with 5+ years in Medical Imaging & Enterprise AI
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AI Engineer with 3+ years of experience building and deploying intelligent systems across medical imaging and enterprise AI applications. Proven ability to deliver end-to-end AI systems spanning cross-vendor cardiac MRI segmentation pipelines, document intelligence, and LLM-powered automation. Published researcher in MICCAI and IEEE, combining rigorous research foundations with hands-on engineering execution.
Nile University
Masters in informatics · Information Technology and Computer Science
August 1, 2021 – June 30, 2024
Cairo University
Bachelor of Systems and Biomedical Engineering · Systems and Biomedical Engineering
August 1, 2015 – June 30, 2020
Intixel Company
Artificial Intelligence Engineer (Full Time)
March 1, 2023 – Present
Giza, Giza Governorate, Egypt
Information Technology and Computer Science (ITCS) Center, Nile University
Research Assistant at Medical Imaging and Image Processing Research Group (Full Time)
January 1, 2021 – December 31, 2023
Giza, Giza Governorate, Egypt
AI-Powered Training & Survey Generation Platform
June 1, 2026 – Present
Developed enterprise GenAI features for automated training material and survey generation using locally hosted Qwen LLMs and vLLM. Built AI APIs for structured content generation and KPI-based operational workflows.
Document Verification & Stamp Recognition System
June 1, 2026 – Present
Developed a document verification system using two cascaded YOLO models for hierarchical detection of stamps and signatures, followed by a Large Language Model (LLM)-based entity identification module to determine issuing authorities from official documents.
Arabic Financial Document Extraction & Table Structuring System
June 1, 2026 – Present
Built an end-to-end OCR pipeline combining PaddleOCR, EasyOCR, and VLMs to extract structured financial tables from Arabic scanned documents.
Multimodal Deep Learning for Early Alzheimer's Disease Diagnosis (Master's Thesis)
June 1, 2026 – Present
Developed MRI- and PET-based multimodal classification framework achieving up to 97.67% AUC and 95.24% accuracy for AD vs CN detection.
Automatic Early Diagnosis of Alzheimer's disease Using 3D Deep Ensemble Approach
IEEE Access
June 1, 2026 – Present
Does Deep Learning Require Image Registration for Early Prediction of Alzheimer's Disease? A Comparative Study using ADNI Database.
MEDI Conference
June 1, 2026 – Present
Deep Feature Fusion Framework for Alzheimer's Disease Staging using Neuroimaging Modalities
MICCAI EMERGE Workshop
June 1, 2026 – Present
Speaker at the Nile University AI Hackathon
Nile University
January 1, 2023 – Present
AWS Machine Learning Specialty
AWS
August 1, 2021 – Present
Awarded 1st place in the Africathon competition for the graduation project
NOKIA TIEC
December 1, 2019 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning medical imaging, document intelligence, and generative AI, indicates adaptability and a broad interest in AI applications. Their experience in both professional and academic settings, coupled with publications and certifications, suggests a continuous learning mindset. The mentoring experience aligns with a collaborative team culture. The target role of AI Engineer is well-aligned with their demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project deliveries (e.g., cross-vendor MRI pipelines, OCR for Arabic documents). Their experience in leading technical development and mentoring junior engineers suggests good leadership and teamwork capabilities. The ability to automate release cycles with GitHub Actions indicates a focus on operational efficiency and best practices.