Bright (19)

Ali M. Shabestari

Ali M. Shabestari is a computer engineering graduate from Sharif University of Technology, possessing extensive expertise in Python programming, data science, machine learning, and database systems. He combines engineering precision with practical teaching experience in the field of AI in medicine.

With several semesters of experience as the head teaching assistant for Python programming at Sharif University, he has successfully helped hundreds of students establish a solid foundation in coding and computational thinking. Additionally, he has taught programming and the mathematical foundations of machine learning to medical and nursing students at Alborz University of Medical Sciences, making complex technical concepts accessible to learners from non-engineering backgrounds.

Beyond his academic and teaching experience, he engages daily with real-world data infrastructure, building data pipelines, managing databases, and utilizing tools like MLflow for reproducible machine learning. He has completed numerous advanced courses from platforms such as Coursera and DataCamp, with interests that include bioinformatics, health data analysis, and machine learning.

His teaching approach combines clarity, practical relevance, and technical depth, making him a valuable guide for learners looking to apply Python and machine learning in healthcare.