Zeyad Ashraf Saeed Tantawy

Self-motivated AI Engineering student with interests in mastering machine learning, deep learning, computer vision, and full-stack development. Experienced in developing complex applications and intelligent systems with the use of Python, Java, PHP, and other web technologies. Possess expertise in the application of advanced techniques in algorithm, imaging, and language processing for problem solving. Proven record of achievement in team-based settings, with demonstrated skills in project management, high-accuracy model development, and reliable software engineering. Enthusiastic in the application of AI technologies in advancing the innovation of the health, security, and automation industries.

• Problem Solving
• Team Collaboration
• Technical Documentation
• Project Management

• Smart Door Recognition System Built an intelligent door access system using YOLOv5, Dlib, and Face_Recognition for real-time facial recognition. Integrated preprocessing, alignment, and image augmentation to enhance accuracy. Logged access events and implemented alert notifications via Telegram API.
• Email Spam Checker using NLP Developed a spam detection system using Logistic Regression, Naive Bayes, Random Forest, and Gradient Boosting. Applied TF-IDF feature extraction and evaluated models to achieve high precision on real-world datasets.
• Clinical Note Analysis System Engineered a backend system using PHP for clinical note analysis using NLP techniques. Documented SRS and UML diagrams and collaborated on algorithm integration for medical text analysis.
• Image Segmentation for Digital Rock Analysis Created a segmentation model with 96% accuracy for analyzing digital rock images. Implemented preprocessing and ML pipelines for accurate geological structure detection.
• Healthcare Test Classification Using ML Built classification models using Logistic Regression, SVM, Random Forest, Naive Bayes, and MLP. Used PCA for dimensionality reduction and optimized models using GridSearchCV and PSO.
• House Price Prediction Predicted house prices using regression algorithms on real-world data. Performed preprocessing, feature engineering, and model evaluation for high prediction accuracy.
• Food Delivery Application Developed a JavaFX-based Talabat-style app with order management, delivery tracking, and user authentication.
• Tour Guide Website Built a full-stack tourism platform using Node.js and MongoDB. Designed REST APIs and optimized data schemas for efficient user interaction and tour booking.