Summary
Rafi Refat is a Senior Software Development Engineer with 11 years of experience combining machine learning, cybersecurity, and full-stack software engineering to build pragmatic, production-ready systems. Currently at Ford, he designs automated test infrastructure and tooling for Software Defined Vehicles, bringing prior LiDAR and ADAS cybersecurity work to bear on automotive safety and compliance. He holds a Ph.D. in Electrical and Computer Engineering from the University of Michigan, where his research applied deep learning to cyber security and produced publications and patents. Rafi’s background spans building remote vehicle cybersecurity labs, developing end-to-end hardware test frameworks, and contributing to web and React ecosystems—demonstrating fluency from embedded CAN bus analysis to cloud-based tooling. As a technical reviewer for IEEE venues, he bridges academic rigor and industry delivery, often unblocking testing and deployment through pragmatic engineering patches and automation.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Michigan - Rackham Graduate School
Bachelor of Science (BSc), Computer Science & Engineering, Bachelor of Science (BSc), Computer Science & Engineering at University of Engineering and Technology, Rajshahi
Masters of Science in Computer Engineering, Computer Engineering, Masters of Science in Computer Engineering, Computer Engineering at University of Michigan-Dearborn
English