Professional Overview
I am an AI & Machine Learning Developer with a Bachelor’s degree in Artificial Intelligence (BSAI), specializing in developing intelligent, innovative, and scalable digital solutions. I have hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Python Automation, Computer Vision, Generative AI, and Web Development. My expertise includes building AI-powered applications, intelligent chatbots, LLM-based systems, predictive models, image recognition systems, automated workflows, and modern responsive websites. I work with technologies such as Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, LangChain, FastAPI, Streamlit, HTML, CSS, and JavaScript. I am passionate about transforming complex ideas into practical, efficient, and user-friendly solutions. My priority is delivering high-quality work, clear communication, client satisfaction, and timely project completion. Let’s turn your ideas into intelligent digital solutions!
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed machine learning models for customer churn prediction.
- Performed exploratory data analysis and data preprocessing.
- Applied feature engineering to improve model performance.
- Evaluated models using accuracy, precision, recall, and F1-score.
- Analyzed customer behavior patterns to identify churn factors.
Key Achievements / KPIs
- Improved prediction accuracy through feature engineering.
- Completed customer churn and behavior analysis projects.
- Received positive feedback for data analysis and model improvements.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Worked on machine learning development and implementation.
- Cleaned and preprocessed datasets for model training.
- Applied feature engineering to improve model performance.
- Evaluated model performance using standard ML metrics.
- Practiced Python-based data analysis and model optimization.
Key Achievements / KPIs
- Gained practical experience in end-to-end ML workflows.
- Strengthened skills in model training, testing, and evaluation.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed AI-powered applications using machine learning and deep learning.
- Built medical image classification and bone fracture detection systems.
- Developed an AI Qur'an Teacher using Whisper for Arabic speech recognition.
- Created AI chatbots, NLP applications, and automated workflows.
- Built and deployed interactive AI applications using Python and Streamlit ,React
Key Achievements / KPIs
- Developed AI solutions across healthcare, NLP, and speech recognition.
- Implemented YOLOv8-based bone fracture detection.
- Built an offline Arabic recitation analysis system with Tajweed feedback.
- Delivered end-to-end AI prototypes from preprocessing to inference.
Education
Field of Study: Machine Learning, Deep Learning, ANN, NLP, Computer Vision, Reinforcement Learn
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
