Expertise

Machine Learning Engineering

Gaining practical industry experience in real-world AI and machine learning workflows, including data preprocessing, model development, evaluation, and experimentation.

Machine LearningDeep LearningPredictive ModelingModel EvaluationPython

Artificial Intelligence Development

Strong foundation in AI concepts such as Natural Language Processing, Computer Vision, and Reinforcement Learning, applied to build intelligent systems and AI-driven solutions.

Artificial IntelligenceNLPComputer VisionReinforcement LearningAI-driven Solutions

Data Analytics & Predictive Analytics

Proficient in preprocessing and analyzing data, developing predictive models, and applying data-driven decision-making to solve real-world problems.

Data AnalyticsPredictive AnalyticsData PreprocessingResearch & AnalysisProblem Solving

Projects

Diabetes Risk Prediction System

Evaluated results using Accuracy, Recall, F1-score, and AUC-ROC, and applied SHAP to interpret predictions and identify top risk factors.

Built an AI-based early risk prediction system for diabetes using clinical and demographic data, covering the full pipeline from preprocessing to model interpretability.

Breast Cancer Diagnosis Classification

Implemented and compared Linear SVM, RBF SVM, and K-Nearest Neighbors algorithms, evaluating performance using Accuracy, Precision, Recall, and F1-score.

Developed classification models to predict breast tumor status (benign vs. malignant) from diagnostic medical data, applying PCA for dimensionality reduction.

AI Text Authenticity Detection

Applied text preprocessing and feature extraction with Bag-of-Words, training and evaluating Naive Bayes and Logistic Regression models.

Designed a text classification system to distinguish AI-generated content from human-written text using NLP techniques.

Fruit Image Object Recognition System

Trained and validated the model on labeled image datasets and evaluated performance on unseen test data.

Designed and implemented an image classification system for fruit recognition using supervised learning techniques and preprocessing methods.

Timeline

-2026

Currently participating in a 6-week remote Machine Learning Engineering internship at FlyRank AI, gaining practical industry experience.

2026

Achieved First Class Honours in Bachelor of Science (Hons) in Artificial Intelligence from the University of Hertfordshire.

2026

Developed an AI-based early risk prediction system for diabetes as a graduation project.

2025

Designed a text classification system to distinguish AI-generated content from human-written text.

2023

Completed a 1-month intensive Machine Learning Course at the University of Hertfordshire.

2022

Provided one-on-one mathematics tutoring at PortSaid British School, strengthening communication and time management skills.