Mahdi Zeinali Hassanvand is a highly educated professional in chemical engineering, holding a Ph.D. in Transfer Phenomena from the Petroleum University of Technology. With extensive experience as a Research Assistant at the Research Institute of Petroleum Industry (RIPI), Mahdi has contributed to research on predicting and optimizing the behavior of Asphaltene in oil wells using MATLAB. Previous roles include programming and numerical mathematics lecturer at Azad University and reservoir engineer at the National Iranian Oil Company. Mahdi has also gained web development experience as a Junior Web Developer at Netcompany and a Frontend Web Developer as a freelancer, currently enhancing programming skills across various languages and technologies.
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