Computer Engineering Student · Dual Degree
Building at the intersection of code, data & electrical systems.
I'm a 3rd-year Computer Engineering student holding a dual degree from Ain Shams University (Cairo) and the University of East London. My work spans the full stack — from low-level embedded systems and hardware design to data pipelines, machine learning models, and production web apps.
I'm passionate about building things that actually work: clean architecture, measurable outcomes, and real-world impact. Whether that's a 96.8%-accuracy digit classifier or a restaurant ordering system that cut manual processing time by 40%.
Outside of code, I lead and coordinate volunteer efforts at the Faculty of Engineering — recognized among the top 5% of contributors with the Excellence Award.
Built 6 classifiers (KNN, SVM, Decision Tree, Naïve Bayes, Logistic Regression, CNN) from scratch with NumPy. Achieved 96.8% accuracy with CNN feature extraction (+5.3%), PCA, L1/L2 regularization, and 5-fold cross-validation. Ships with an interactive GUI for real-time digit drawing and probability bar charts.
Unsupervised defect detection system using PatchCore with a ResNet18 backbone — no defect labels needed during training. Achieved 92.1% ROC-AUC and 88% accuracy on the MVTec bottle dataset. Optimized coreset memory bank to run on CPU with ~5x less RAM. Deployed as a Streamlit app with real-time anomaly heatmaps and a ROC-calibrated threshold.
Cleaned an 8,124-row categorical dataset with mode imputation & label encoding. Applied K-Modes clustering and Cramér's V / Theil's U correlation analysis. Compared Decision Tree, KNN, Random Forest, and Naïve Bayes — achieving 100% accuracy with tree-based models. Visualized ROC/AUC, confusion matrices, and feature importance.
Unsupervised ML pipeline on 2,240-customer marketing dataset. Applied PCA (3 components) for dimensionality reduction, Elbow Method to determine optimal cluster count, and Agglomerative Clustering to identify 4 distinct customer segments varying by income, spending, promotions response, and family profile.
Analyzed real ASOS product catalog data to uncover lost revenue from stockouts. Parsed messy size/stock strings, calculated phantom revenue per product, and aggregated by brand. Produced a brand strategy scatter plot with quadrant segmentation to identify high-value restocking targets.
Modular pipeline to reassemble 2×2/4×4/8×8 puzzles using multi-feature border analysis — LAB color, Sobel gradients, Laplacian edges — with feature standardization. Integrated adaptive preprocessing (CLAHE, gamma correction, noise-aware denoising) and generated heatmaps, grid-cut diagrams, and quality-score visualizations.
Reddit-style platform with 10+ RESTful API endpoints, AI-driven content features, and a MongoDB schema spanning 5+ data models for scalable user and post management.
Led frontend development across 4 Scrum sprints, building 30+ React pages with role-based dashboards for Admin, Student, Staff, Advisor, and Applicant roles. Includes a real-time messaging system, enrollment, course management, hall booking, and full sidebar navigation per role.
Responsive café website with 100% mobile compatibility using CSS Flexbox and vanilla JS. Supports ordering, login, sign-up, add-to-cart, and checkout flows with cross-browser consistency.
Advanced real-time system implementing multitasking, obstacle protection, safety handling, and inter-task communication. Designed with semaphores, mutexes, queues, and FSM logic on a Tiva-C microcontroller running FreeRTOS.
Layered embedded software using dual TM4C123 microcontrollers with UART communication, EEPROM storage for persistent password data, and motor-driven lock control.
Hardware closed-loop feedback control system using Arduino and a geared DC motor. Designed and tuned a PID controller for accurate angular position control.
Full mobile cooking app built with Flutter using MVVM architecture. Features recipe browsing, step-by-step instructions, and a polished cross-platform UI for iOS and Android.
8-table SQL database with 15+ stored procedures, cutting manual order processing time by ~40%. C# Windows Forms UI integrated directly with SQL Server.
Implemented 6 algorithmic tasks — Tromino Tiling, Knight's Tour, Tower of Hanoi, BFS Knight Swap, DP Lattice Covering — with full complexity analysis across 10+ approaches.
Full-featured online beauty store with product listings, cart management, and a clean responsive UI designed for a smooth shopping experience.
Real-time game loop running at 60 FPS with auto-scaling difficulty across 5 speed levels.
160+ hours of intensive Flutter training. Built 3 fully functional app prototypes using MVC and MVVM architecture within a 6-week program. Achieved 100% of technical milestones and earned an official NTI Certificate of Completion.
Relevant courses: Data Structures, Web Development, Databases, Software Engineering, Embedded Systems, Machine Learning (CSE382), Data Mining & BI (CSE387).
Dual degree program running parallel to Ain Shams University curriculum.
Led 15+ volunteers across 3 major campaigns. Coordinated 4+ faculty-wide events per semester (200+ attendees each). Recognized among the top 5% of contributors with the Excellence Award.
I'm actively looking for internship opportunities. Whether it's a question, a role, or just a hello — my inbox is open.