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Graduate in Information Technology & Computing from Arab Open University. Crafting smart automated systems, sleek web applications, and clean user-focused software.
I'm a graduate in Information Technology & Computing from Arab Open University. Specializing in crafting smart automated systems, sleek web applications, and clean user-focused software.
Currently designing and orchestrating AI-driven agentic workflows using N8N, Firebase SQL, and LLMs to create autonomous solutions that streamline complex business processes.
Interested in a more compact, printable overview of my skills, hackathons, and experience? Open my CV preview below or download the PDF version.
Here are some of my recent projects that showcase my skills and passion for development
EcoGuard is a smart platform designed for farmers, notifying and educating them when wild animals enter their fields, leveraging IoT triggers and alert systems.
Dawak is an on-demand mobile application design that connects users with nearby local pharmacies for quick medicine delivery and prescription tracking.
Miran is a web-based club management system, helping administrators track registrations, schedule events, and interact with members dynamically.
A smart tourism application utilizing conversational AI assistant and AR landmarks tracking to guide visitors around historical Medina landmarks in real-time.
An innovative space crowdsourcing and AI research platform to analyze NASA Kepler data, facilitating public participation in discovery of exoplanets.
A smart platform built to predict and warn about dangerous traffic situations using computer vision and AI analytics, integrating mock Absher driver metadata.
An intelligent web system designed for incident response, mapping hot spots using prediction models, and dispatching volunteers efficiently.
Peer-reviewed research focusing on deep learning applications in healthcare and optical character recognition.
This research develops an AI system for automated diabetic retinopathy classification using CLIP Vision Transformers combined with SMOTE and Focal Loss to address severe class imbalance. Validated on 3,662 fundus images, the model achieved 0.9194 Kappa (almost perfect agreement) and Overall Accuracy: 84.64%. The approach is computationally efficient and suitable for resource-constrained telehealth settings.
This paper presents a deep learning OCR system for recognizing handwritten Arabic text. It combines CNN (visual feature extraction), BiLSTM (sequence modeling), and CTC (end to end training) to tackle key challenges like Arabic's cursive script, diverse handwriting styles, and dot-based letter ambiguity. Custom post-processing further improves accuracy, with results showing strong performance on complex Arabic manuscripts.
Chronological timeline of academic awards, national hackathons, and innovation contest recognition.
IEEE-ICAISET'26 Scientific Committee
Our diabetic retinopathy research paper 'CLIP-DR' was selected as the Best Student Research Paper, recognized for its algorithmic innovation and telehealth feasibility.
Umm Al-Qura University
Multimodal AI tourist guide translating user phone to personal guide with AR and SaaS landmarks.
NASA Space Apps Challenge
Won the regional category championship by building an innovative space data crowd-sourcing and research platform analyzing NASA Kepler telescope data.
Code For Sudan Hackathon
Developed 'Dawak' (دواك), a healthcare application designed for Sudanese citizens to locate and order medicines from pharmacies.
Royal Commission for Jubail & Yanbu (RCJY)
Won second place in the first Graphics Design Hackathon in Saudi Arabia, organized by the Royal Commission for Jubail & Yanbu.
A snapshot of how I grew through developer roles, internships, and civic tech projects.
Contributed to civic tech initiatives, supporting feature delivery and QA while coordinating with product and design to keep releases on track.
Built and refined front-end flows, optimized API interactions, and shipped UI polish to improve customer onboarding speed.
Supported internal tools, handled troubleshooting, and documented fixes to help the team move faster on daily operations.
Have a project in mind or want to collaborate? I'd love to hear from you!
I'm always interested in hearing about new opportunities, innovative projects, or hackathon collaboration. Feel free to drop a message or reach out via socials.