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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

Problem-Solving
Team Leadership
Research
Project Management
Communication
Innovation

Programming Languages

PythonSQLC#C++PHPJavaScript

AI & Machine Learning

TensorFlowKerasPyTorchScikit-learnHugging Face TransformersLangChain

Data Science & Analytics

PandasNumPyScikit-learnData MiningStatistical AnalysisFeature Engineering

Cloud & Infrastructure

Microsoft AzureGitGitHubVisual Studio CodeMicroservices ArchitectureJWT Authentication

Hardware & Embedded Systems

ArduinoRaspberry PiFritzingRobotics

Design & Visualization

WordPressFigmaPhotoshopIllustratorPower BITailwind CSS

Web & Database Frameworks

Next.jsReactFastAPISQLAlchemyPostgreSQLDjango 4.2

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, Egypt2021 - 2026

Awarded 4th Top-Ranked Student among other students. Distinctive Cumulative GPA 3.51 out of scale 4 – Equivalent Grade Excellent.

Research Experience

New Mansoura University

Egypt2023 - 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

Arabic Speech Recognition in Egyptian Dialect

Advanced Arabic speech recognition system specifically engineered for Egyptian dialect recognition using state-of-the-art deep learning and NLP techniques. Trained sophisticated neural networks on extensive Egyptian Arabic audio datasets to achieve high-accuracy transcription of colloquial speech. Successfully fine-tuned speech-to-text algorithms to handle dialect-specific nuances, achieving remarkable performance in recognizing Egyptian expressions and conversational patterns.

PythonTensorFlowPyTorchNLPDeep LearningSpeech ProcessingAudio AnalysisNeural Networks

AgriBot - Intelligent Agricultural Robot

Revolutionary agricultural robot system combining computer vision, IoT sensors, and machine learning for precision farming. Engineered real-time plant disease detection and soil condition analysis using advanced CNN models and embedded systems. Integrated hardware-software architecture processes image data and sensor readings to deliver actionable agricultural insights, empowering farmers with data-driven decision making for crop management.

Computer VisionOpenCVEmbedded SystemsIoTMachine LearningPythonRaspberry PiSensor IntegrationReal-time Processing

Arabic Abstractive Summarization System

Co-led development of an Arabic abstractive summarization system based on the MT5 transformer, building a production-ready pipeline to generate concise, context-aware summaries for Arabic content. Implemented data preprocessing, training, evaluation, and deployment steps; tuned the model for robustness across conversational and formal Arabic. Delivered a reusable summarization module used in downstream applications.

MT5TransformersNLPPyTorchArabic NLPDeep LearningModel OptimizationDeployment

Smile App - GPT-4 Based Autism Support Chatbot

Innovative chatbot application designed to support children with autism through natural language interaction. Integrated GPT-4 with carefully crafted child-friendly interface and emotion-aware prompts to simplify communication. Developed comprehensive UI/UX prototyping and NLP tokenization systems, creating an accessible platform that enhances communication abilities for children on the autism spectrum.

GPT-4OpenAI APIUI/UX DesignNLPTokenizationMicrosoft AzureChild PsychologyAccessibility

EduRobot - Voice-Enabled Educational Assistant

Comprehensive educational robot system designed for classroom environments featuring voice commands, facial recognition, and automated attendance tracking. Developed full-stack solution including voice interface, computer vision modules, and cloud-connected dashboard. Successfully improved classroom engagement and introduced K-12 students to practical AI applications, demonstrating measurable educational impact.

PythonOpenCVSpeech RecognitionDjangoComputer VisionFace RecognitionFull-Stack DevelopmentCloud Integration

E-Correspondence System for University

Enterprise-level communication platform streamlining correspondence across 12 university departments, achieving 40% reduction in email handling time. Implemented robust security features including user authentication and role-based access controls. Integrated seamlessly with existing university systems for automated notifications and comprehensive document tracking, significantly improving administrative efficiency.

Full-Stack DevelopmentAuthentication SystemsRole-Based AccessSystem IntegrationDatabase ManagementSecurityAutomated Workflows

Brain Tumor Detection Using CNN

Medical AI application utilizing Convolutional Neural Networks to detect brain tumors from MRI images with 90% accuracy. Applied advanced image preprocessing techniques including normalization, augmentation, and enhancement to optimize detection performance. Collaborated with multidisciplinary team to fine-tune the model and develop deployment strategies for clinical applications.

CNNTensorFlowMedical ImagingImage ProcessingComputer VisionPythonMedical AIModel Deployment

Arabic Text Summarization Toolkit

Built a comparative summarization toolkit for Arabic that implements Word Frequency, K-Means clustering, and PageRank-based summarizers. Evaluated and benchmarked approaches on Arabic datasets, finding PageRank provided the best balance of compression and fidelity (0.562 compression ratio). Packaged evaluation scripts and reproducible pipelines so the toolkit can be integrated into production services or research experiments.

PythonText MiningPageRank AlgorithmK-Means ClusteringArabic NLPEvaluation & Benchmarking

Intelligent Chatbot Development Portfolio

Extensive portfolio of specialized chatbots across multiple domains including healthcare, education, e-commerce, and customer service. Developed recommendation system-based chatbots, knowledge-based expert systems, and LLM API-integrated solutions serving diverse industries from fintech to retail. Each chatbot tailored to specific domain requirements, incorporating advanced NLP, machine learning, and conversational AI techniques for optimal user experience and business impact.

LLM APIsRecommendation SystemsKnowledge-Based SystemsConversational AINLPMachine LearningAPI IntegrationDomain Expertise

Abnormal Events Detection (Surveillance Cameras)

Developed an iterative weak/self-supervised framework for detecting abnormal events in surveillance camera footage. The system leverages self-supervised pretraining and weak labels to iteratively refine a classifier capable of recognizing anomalies with minimal hand-labeled data. Built end-to-end pipeline for data preprocessing, augmentations, iterative training loops, and evaluation tailored to real-world surveillance scenarios.

Computer VisionSelf-Supervised LearningWeak SupervisionPyTorchOpenCVAnomaly DetectionVideo ProcessingModel Evaluation

Data Analysis & Machine Learning Platform

Comprehensive data analysis and machine learning platform that transforms raw data into valuable insights. Built custom predictive models, statistical analysis tools, and interactive dashboards for various business domains including sales forecasting, customer behavior analysis, and survey data processing. Features automated data cleaning, visualization, and model deployment capabilities.

PythonPandasNumPyScikit-learnXGBoostMatplotlibSeabornFastAPIJupyterSQLExcel

Luxury Fashion E-commerce Store

Premium e-commerce platform for luxury fashion brands built with WordPress and WooCommerce. Features sophisticated product filtering, responsive design optimized for mobile devices, secure checkout system, and performance optimization. Includes advanced SEO implementation, custom CSS styling, and seamless user experience design tailored for high-end fashion retail.

WordPressWooCommerceElementorCSSJavaScriptSEOPerformance OptimizationSSL Security

Multilingual Tourism Booking Platform

Full-stack tourism booking platform supporting multiple languages for educational tours in conflict-affected regions. Built with modern tech stack featuring FastAPI backend, Supabase database, and TypeScript frontend. Includes comprehensive admin dashboard, user management system, dynamic tour management, and secure booking functionality with REST API integration.

FastAPISupabasePostgreSQLTypeScriptREST APIAdmin DashboardAuthenticationMultilingual Support

Medical Landing Page for Pediatrician

Professional responsive landing page designed specifically for pediatric healthcare providers. Features bilingual support (Arabic/English), medical-focused design elements, appointment booking integration, and mobile-optimized responsive layout. Emphasizes user trust, accessibility, and professional medical aesthetics to enhance patient engagement and online presence.

HTML5CSS3JavaScriptResponsive DesignBilingual SupportMedical UI/UXPerformance Optimization

Personal Portfolio Website with Animations

Modern personal portfolio website built with React and TypeScript featuring smooth animations and interactive elements. Showcases professional work, skills, and achievements with dynamic content loading, responsive design, and engaging user interface. Implements advanced CSS animations, component-based architecture, and optimized performance for superior user experience.

ReactTypeScriptFramer MotionCSS AnimationsResponsive DesignComponent ArchitecturePerformance Optimization

Bilingual Business Website

Contemporary business website with dual-language support (Arabic/English) featuring modern design principles and high-performance optimization. Built with clean architecture, responsive layout, and fast loading times. Includes business-focused sections, contact forms, service presentations, and SEO optimization for enhanced online visibility and customer engagement.

HTML5CSS3JavaScriptBilingual SupportSEOResponsive DesignPerformance OptimizationBusiness UI/UX

Modern Portfolio Website with Next.js

High-performance portfolio website built with Next.js framework featuring server-side rendering, optimized loading, and modern web technologies. Includes dynamic content management, responsive design, smooth navigation, and professional presentation of work and achievements. Emphasizes fast loading times and excellent user experience across all devices.

Next.jsReactServer-Side RenderingPerformance OptimizationResponsive DesignModern Web Stack

Professional Responsive Portfolio

Comprehensive professional portfolio website built with Next.js showcasing advanced web development capabilities. Features responsive design, fast loading times, interactive elements, and professional presentation of projects and skills. Implements modern web standards, accessibility best practices, and cross-browser compatibility for optimal user experience.

Next.jsReactCSS3Responsive DesignWeb StandardsAccessibilityCross-browser Compatibility

Hobbies & Other Skills

AI Research
Programming
Robotics
Reading
Design
Leadership
📚Research & Publication
📚📚📚📚📚
👥Leadership
👥👥👥👥👥
📝Technical Writing
📝📝📝📝📝
🎤Public Speaking
🎤🎤🎤🎤🎤
🧩Problem Solving
🧩🧩🧩🧩🧩

Achievements

Certifications

Microsoft Azure AI Fundamentals

2024

Microsoft

Microsoft C# Code

2024

Microsoft

AI on Azure

2024

Microsoft

Azure Machine Learning

2024

Microsoft

Introduction to Artificial Intelligence

2024

SkillUp

Foundations of Digital Marketing

2024

Google & The Open University

Awards & Recognition

1st Place - Benha Hackathon

February 2025

New Mansoura University

Best Team - Finology Competition

March 2025

New Mansoura University

Top 4 Nationally - Huawei ICT Competition (Innovation Track)

March 2024

New Mansoura University

5th Place - Benha Hackathon

February 2024

New Mansoura University

15th Place - ICMTC AI Competition

July 2023

New Mansoura University

Leadership

Technology Director

2024 - 2025

NMU Student Union

  • Managed technological aspects of the union
  • Led the media team
  • Oversaw digital transformation

Head of Graphic Design Team

2022 - 2025

Initiative Student Union

  • Led the design team
  • Created engaging materials for university events
  • Ensured brand consistency

Head of Programmers Committee

2021 - 2025

Innovators Club

  • Led coding workshops
  • Mentored students
  • Developed technical projects