Member Of Neuroimaging And Analysis Group (NIAG) at Shahid Beheshti University
Tehran Province, Iran Other
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Summary
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Shayan Kebriti is a computer engineering student from Shahid Beheshti University with eight years of hands-on experience spanning software development, machine learning, and academic research. He has contributed as a teaching assistant across a broad curriculum—from machine learning and AI to microprocessors and data structures—demonstrating both deep technical breadth and a knack for communicating complex concepts. His research roles at Shahid Beheshti University, NIAG (Tehran University of Medical Sciences), and IPM involved applied work in neuroimaging and BEV perspective transformation for autonomous driving, bridging theory and real-world ML systems. Short stints as a machine learning engineer and software developer show he can move models and prototypes toward practical deployment. Shayan maintains an online portfolio at shayankebriti.github.io, signaling a commitment to public code and continuous learning. Based in Tehran, he combines strong academic foundations with versatile engineering experience useful for research-driven product teams.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Shahid Beheshti University
High School Diploma, Mathematics & Physics, High School Diploma, Mathematics & Physics at National Organization for Development of Exceptional Talents (Sampad)
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Shayan Kebriti - Member Of Neuroimaging And Analysis Group (NIAG) at Shahid Beheshti University