Driven by a profound passion for the intersection of Mechanical Engineering and cutting-edge technology, I am a dedicated professional specializing in machine learning, machine vision, mechatronics, and fault diagnosis. With a Ph.D. in Mechanical Engineering and a comprehensive background in academic roles as an Assistant Professor in Mechtronics Engineering and Mechanical Engineering, I bring extensive expertise in both theoretical and practical applications. My research contributions span across multiple esteemed publications, focusing on fault diagnosis in diverse systems, such as suspension, emission estimation in engines, and the utilization of machine learning and deep learning techniques. Proficient in a variety of software tools including MatLab, AutoCAD, Solidworks, Python, and NI-LabVIEW, I am adept in integrating technology for innovative solutions. My aim is to leverage my skills and experience to pioneer automated and sustainable solutions in the field of fault diagnosis and drive advancements in the realm of Mechanical Engineering.