Summary
Kazi Islam is a research-focused engineer with a decade of experience bridging VLSI and deep learning, currently pursuing a PhD in Electrical and Computer Engineering at the University of Florida. He researches fault attack vulnerabilities in deep learning accelerators across GPUs and FPGAs and contributes to the RISING Lab while bringing hands-on experience from heterogeneous data integration, cache-side attack mitigation, and production ML systems. Previously he built and optimized Bengali license plate recognition and real-time object detection systems, integrating cloud services and tuning models for CPU-edge deployment. Comfortable in C++, Python, TensorFlow, Spark, and Intel CAT, he combines low-level hardware security insights with practical machine learning engineering. Known as a hobbyist coder on GitHub, he blends academic rigor with startup-minded product delivery and a persistent focus on secure, efficient ML acceleration.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Florida State University
HSC, Science, HSC, Science at Notre Dame College
Bachelor of Science (BSc), Electrical and Electronics Engineering, 3.593, Bachelor of Science (BSc), Electrical and Electronics Engineering, 3.593 at Ahsanullah University of Science and Technology
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Florida