CV

Research Assistant

Toronto Metropolitan University (Mitacs Accelerate Internship, with FenderAI)

• Supervisor: Dr. Rasha Kashef.
• Department of Electrical, Computer, & Biomedical Engineering.
• Developed an optimized OCR system for an automated verification pipeline, with more than 3x speedup.

Machine Learning Engineer

LightRing

• Developed a Highway vehicle speed estimation and road analysis system (83% accuracy in real-time).
• Automated the FTTH Design Process using GNNs with Setics Sttar, reducing manual design time by 70% (delivered as Windows App).
• Engineered a Multi-Agent assistant bot for the World Bank using LangGraph and Gemini API; implemented intelligent agent routing.
• Fine-tuned Whisper for Saudi dialect speech recognition, improving WER by 3%.

Research Fellow

Fatima Fellowship

• Developed BLISS (Bandit Sampling) for GNNs using DGL, improving training speed up to 15% and accuracy up to 18%.
• Work accepted at the MusIML workshop at NeurIPS 2025.

Data Scientist

Orange Innovation Egypt

• Built MLOps Pipelines using MLflow, DVC, and Docker with real-time monitoring via Prometheus and Grafana.
• Automated ticket routing for France Business Operations (76% accuracy), reducing latency by 60%.
• Researched transformer-based Multiple Object Tracking (MOT) with 3D shape prediction.
• Deployed computer vision systems for plant disease detection and industrial OCR tracking (dot-matrix font).

Computer Vision Intern

Intixel

• Architected a segmentation system for breast cancer micro-calcification using U-Net and GANs on DDSM-CBIS dataset.

Deep Learning Intern

Valeo

• Developed a car command system and monitoring system for driver distraction.
• 2nd Place winner of the 2020 Dell Technologies Envision the Future Competition.

Master's (Thesis based)

Wilfrid Laurier University

Applied Computing

• Thesis: Developed a novel optimized hierarchical Graph Neural Network for vision tasks, by designing a pure GNN layer that emulates depthwise separable convolutions.
• Supervisor: Prof. Emad A. Mohammed.
• Relevant Coursework: Advanced Parallel Programming (CP631), Advanced Machine Learning (CP640), Practical Algorithm Design (CP600), Applied Cryptography (CP614).
• Teaching Assistantships: Artificial Intelligence (CP468), Data Structures (CP264).

Bachelor's

Mansoura University

Computer and Systems Engineering

GeoViG: Geometry-Aware Graph Reasoning for Mobile Vision Tasks in Natural and Medical Images

Accepted, IEEE EMBC 2026.

BLISS, Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks

NeurIPS 2025, MusIML Workshop.

Multimodal System for Driver Distraction Detection and Elimination

IEEE Access, 2022.

Award for Outstanding Work at the Graduate Level

Wilfrid Laurier University

Selected to receive the award at the Spring 2026 convocation ceremony.