Summary
Walid Hanafy is a distributed systems researcher and engineer with a decade of experience building resource- and energy-efficient computing and AI systems, currently a Postdoctoral Research Associate at UMass Amherst focusing on reducing the carbon footprint of computing and designing resilient AI for constrained environments. He holds a PhD in Computer Science from UMass Amherst and has blended academic research with industry practice through roles at Nokia Bell Labs and multiple engineering positions where he shipped cloud, edge, and GIS systems. Walid’s work spans deploying ML inference on edge devices, distributed training, and practical lab and teaching experience—he even taught an OS design course and ran a cloud computing lab—showing a strong ability to translate theory into operational systems. Notable for combining deep systems thinking with hands-on product delivery, he has led R&D on a “codeless” GUI testing framework and contributed to renewable-energy ML research, reflecting a rare mix of sustainability, tooling, and production experience.
10 years of coding experience
9 years of employment as a software developer
Diploma, Computer Software Engineering, B+, Diploma, Computer Software Engineering, B+ at Information Technology Institute (ITI)
Doctor of Philosophy - PhD, Computer Science, GPA: 4, Doctor of Philosophy - PhD, Computer Science, GPA: 4 at University of Massachusetts Amherst
Master's degree, Computer Engineering, Excellent, Master's degree, Computer Engineering, Excellent at Helwan University Cairo
English