About Me
I'm an AI Engineer and Researcher currently pursuing a Bachelor of Engineering in Artificial Intelligence at New Mansoura University. Ranked 4th among my peers with a 3.472 GPA, I've established myself as a dedicated researcher in the field of Natural Language Processing, specifically focusing on Arabic text summarization.
My research has been published in prestigious IEEE conferences, including the 2024 International Conference on Computing and Informatics (ICCI) and the 2024 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). I specialize in deep learning techniques, particularly with the Multilingual T5 model for Arabic NLP tasks.
Beyond academia, I've developed practical AI solutions including an Egyptian dialect Arabic speech recognition system, AGRIBOT for plant disease detection, and a brain tumor detection model with 90% accuracy. I'm also actively involved in leadership roles, serving as Technology Director for the NMU Student Union and Head of the Programmers Committee for the Innovators Club.
AI Engineer - Researcher
Specializing in NLP and deep learning for Arabic language processing
Academic Excellence
IEEE published researcher with expertise in machine learning & computer vision
Skills
Personal Attributes
Programming Languages
AI & Machine Learning
Data Science & Analytics
Cloud & Infrastructure
Hardware & Embedded Systems
Design & Visualization
Web & Database Frameworks
Experience
Undergraduate Researcher
New Mansoura University
2023 - 2024
- Conducted research on Arabic abstractive text summarization using the Multilingual T5 model.
- Designed and implemented experiments to evaluate the effectiveness of the T5 model in generating high-quality Arabic summaries.
- Collaborated with a multidisciplinary team to fine-tune the model for Arabic linguistic structures and optimize performance.
- Analyzed model outputs using various evaluation metrics to assess summary coherence, fluency, and informativeness.
- Presented findings at the 2024 6th International Conference on Computing and Informatics (ICCI), published by IEEE.
Undergraduate Researcher
New Mansoura University
2023 - 2024
- Conducted a comparative study on Arabic text summarization techniques, evaluating Word Frequency Analysis, K-Means Clustering, and the PageRank Algorithm.
- Designed and implemented experiments to assess the performance of these techniques using metrics such as recall, precision, F1 score, compression ratio, and population standard deviation.
- Analyzed the effectiveness of each method in achieving optimal summary quality and information retention.
- Contributed to the development of insights into improving Arabic text summarization for diverse applications.
- Presented research findings at the 2024 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), published by IEEE.
Technology Director
NMU Student Union
2024 - 2025
- Managed technological aspects of the union, overseeing digital transformation and IT operations.
- Led the media team, ensuring effective communication and branding across various platforms.
- Collaborated with other departments to implement innovative solutions for student engagement.
- Organized technical events and workshops to enhance student skills and knowledge.
- Developed digital resources and tools to support student activities and initiatives.
Head of Programmers Committee
Innovators Club
2021 - 2025
- Led the Programmers Committee to organize coding workshops, mentor students, and develop technical projects.
- Coordinated programming competitions and hackathons to stimulate innovation and problem-solving skills.
- Provided technical guidance and support to club members on various programming projects.
- Facilitated knowledge sharing sessions and collaborative learning environments.
- Established partnerships with industry professionals for workshops and guest lectures.
Education
Bachelor of Engineering - Artificial Intelligence Engineering
New Mansoura University College of Computer Science and Engineering
New Mansoura, Egypt • 2021 - 2026
Awarded 4th Top-Ranked Student among other students. Distinctive Cumulative GPA 3.472 out of scale 4 – Equivalent Grade Excellent.
Research Experience
New Mansoura University
Egypt • 2023 - 2024
Conducted research on Arabic abstractive text summarization using the Multilingual T5 model. Published findings at the 2024 6th International Conference on Computing and Informatics (ICCI), IEEE.
Projects
Climate Change Impact Analysis - Agricultural Data Mining
Developed a comprehensive data mining project analyzing climate change's impact on agricultural productivity. Implemented multiple machine learning models (Random Forest, Gradient Boosting, Ridge/Lasso Regression) to predict crop yields and assess adaptation strategies. Created an extensive data pipeline for preprocessing agricultural and climate data, featuring advanced feature engineering and multi-stage analysis (classification, regression, clustering). Built interactive Power BI dashboards for visualizing insights. The project provides actionable insights for agricultural adaptation to climate change.
EduRobot — AI-Powered Educational Platform
Developed a full-featured learning management system that leverages cutting-edge AI and computer-vision technologies. Key achievements: (1) Reduced manual attendance overhead by 90% through OpenCV-based facial recognition, (2) Improved student engagement by 30% via AI-driven tutoring and real-time collaboration, (3) Implemented context-aware Chat_AI with document understanding for curriculum-specific assistance, (4) Built comprehensive analytics dashboards for data-driven teaching. Features include: automated attendance tracking, NLP-powered content analysis, WebSocket-enabled real-time collaboration, role-based access control, and adaptive learning paths. Built with Django 4.2, custom NLP pipelines, and scalable data architecture.
Smile App - Smart Mobile Application for Autism Support
Led AI integration for an interactive mobile platform supporting children with Autism Spectrum Disorder (ASD) in Egypt. Developed and fine-tuned LLM-powered chatbot using GPT-4 via Azure, implemented emotion recognition and behavioral analysis modules, engineered voice and sound recognition features, and contributed to cloud architecture ensuring secure, scalable AI services deployment. Created personalized learning paths using adaptive algorithms tailored to each child's developmental needs.
Career Development Platform
Developed a comprehensive career development and job search platform combining AI-powered tools with personalized guidance. Implemented intelligent resume parsing, AI career chatbot, and algorithm-driven job matching. Built with a microservices architecture for scalability and maintainability, featuring secure authentication and comprehensive profile management.
Arabic Speech Recognition in Egyptian Dialect
Developed an Arabic speech recognition system tailored to the Egyptian dialect using deep learning and natural language processing techniques. Trained models on extensive audio datasets to accurately transcribe spoken Egyptian Arabic into text, and fine-tuned speech-to-text algorithms for improved recognition of colloquial expressions and dialect-specific nuances.
AGRIBOT
Designed and developed AGRIBOT, a robot for detecting plant diseases and analyzing soil conditions using computer vision and embedded systems. Integrated neural network models to classify plant diseases and assess soil health in real-time for precision agriculture applications.
Arabic Abstractive Summarization
Co-led the development of an Arabic Abstractive Summarization model using the MT5 architecture to generate concise and accurate text summaries. Utilized advanced NLP and deep learning techniques to improve summarization beyond traditional extractive approaches.
E-Correspondence System
Built a custom e-correspondence system to streamline communication for 12 university departments, reducing email handling by 40%. Implemented secure user authentication and role-based access controls, and integrated with existing systems for automated notifications and improved document tracking.
Brain Tumour Detection
Developed a CNN-based program to detect brain tumors from MRI images with 90% accuracy. Applied image preprocessing techniques such as normalization and augmentation to enhance detection accuracy, and collaborated with fellow students to fine-tune and deploy the program.
Hobbies & Other Skills
Achievements
Certifications
Microsoft Azure AI Fundamentals
2024Microsoft
Microsoft C# Code
2024Microsoft
AI on Azure
2024Microsoft
Azure Machine Learning
2024Microsoft
Introduction to Artificial Intelligence
2024SkillUp
Foundations of Digital Marketing
2024Google & The Open University
Awards & Recognition
1st Place - Benha Hackathon
February 2025New Mansoura University
Best Team - Finology Competition
March 2025New Mansoura University
Top 4 Nationally - Huawei ICT Competition (Innovation Track)
March 2024New Mansoura University
5th Place - Benha Hackathon
February 2024New Mansoura University
15th Place - ICMTC AI Competition
July 2023New Mansoura University
Leadership
Technology Director
2024 - 2025NMU Student Union
- Managed technological aspects of the union
- Led the media team
- Oversaw digital transformation
Head of Graphic Design Team
2022 - 2025Initiative Student Union
- Led the design team
- Created engaging materials for university events
- Ensured brand consistency
Head of Programmers Committee
2021 - 2025Innovators Club
- Led coding workshops
- Mentored students
- Developed technical projects