AI/ML Engineer with hands-on experience in designing, training, evaluating, and deploying machine learning and deep learning models. Strong background in Python and SQL with practical experience across the full ML lifecy…
AI/ML Engineer with hands-on experience in designing, training, evaluating, and deploying machine learning and deep learning models. Strong background in Python and SQL with practical experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and API-based deployment. Experienced with MLOps practices, MLflow, DVC, Docker, Fast API/Flask, and Azure AI services. Seeking AI/ML Engineer or Machine Learning Engineer roles in the UK. Key Highlights: End-to-end ML pipelines • Production-ready APIs • Azure ML & MLOps • Research + Industry Internships
Designed and trained deep learning models for medical image classification (Monkeypox detection).
Performed image preprocessing and augmentation.
Evaluated models using standard metrics.
Integrated trained models into a Flask-based web application enabling real-time inference for end users.
Designed and trained deep learning models for medical image classification (Monkeypox detection)., Performed image preprocessing and augmentation; evaluated models using standard metrics., Integrated trained models into a Flask-based web application enabling real-time inference for end users.
Built ML pipelines using Python and scikit-learn, including data cleaning, feature engineering, training, and evaluation.
Collaborated on integrating model outputs into a Flask-based web interface.
Built ML pipelines using Python and scikit-learn, including data cleaning, feature engineering, training, and evaluation., Collaborated on integrating model outputs into a Flask-based web interface.
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