Ahmed Tarek

I am an aspiring data scientist with a strong foundation in deep learning, machine learning, and data analysis, focused on applying AI to medical imaging and sports analytics. I have experience building end-to-end ML/DL models and deploying MLOps pipelines.

I led data analysis and medical image processing for an AI graduation project, designed and trained models to assist users with mild cognitive impairment and Alzheimer’s, and deployed an MLOps pipeline on Azure. I also built award-winning ML applications, including a hackathon-winning AI Diet Assistant, and developed production-focused MLOps workflows using MLflow and Streamlit dashboards.

I work across the full stack of model development, deployment, and user-facing applications, using Python, TensorFlow, PyTorch, OpenCV and cloud platforms like AWS; I seek roles where I can continue delivering impactful AI solutions in healthcare and sports while growing my MLOps and production ML expertise.