Results-driven AI Engineer with hands-on experience in designing, developing, and deploying ma-
chine learning and deep learning solutions for healthcare and industrial applications. Proficient in
Python, TensorFlow, Sci…
Results-driven AI Engineer with hands-on experience in designing, developing, and deploying ma-
chine learning and deep learning solutions for healthcare and industrial applications. Proficient in
Python, TensorFlow, Scikit-learn, and end-to-end ML pipelines. Proven track record of improving
model accuracy by 30%+, optimizing workflows, and delivering production-ready AI applications. Pas-
sionate about leveraging AI to solve real-world problems and drive measurable business impact.
Built an AI-powered X-ray Scanner App using deep learning (CNNs) for medical image classification and anomaly detection.
Developed an AR Restaurant Finder App integrating augmented reality with location-based services.
Created an AI-based Quran Teacher & Islamic Storyteller using TTS and Whisper models.
Delivered multiple end-to-end AI solutions from model development to deployment.
Designing and developing machine learning or software solutions based on client requirementsBuilding, training, and optimizing models (if AI/ML role) using real-world datasetsDeveloping APIs, backend services, or full-stack components for deploymentWorking with data pipelines: cleaning, preprocessing, and transforming dataDeploying models or applications to production environments (cloud or on-premise)Debugging, testing, and improving system performance and reliabilityCollaborating with cross-functional teams (designers, product managers, engineers)Writing clean, maintainable, and well-documented code
Developed and deployed predictive ML models achieving 85% classification accuracy using Python, Pandas, and Scikit-learn for healthcare and industrial use cases.
Optimized data preprocessing pipelines, reducing data cleaning time by 20% and improving model training efficiency.
Created interactive visualizations with Matplotlib and Seaborn to communicate model insights to stakeholders.
Enhanced machine learning model performance by 30% through advanced hyperparameter tuning with TensorFlow and Scikit-learn.
Implemented AI-driven process improvements that increased operational efficiency by 15%.
Collaborated in a 4-member agile team to design and optimize end-to-end ML pipelines.
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