Elias Mizan is a software engineer with five years of industry experience and a deep background in CPU architecture, performance modeling, and verification, currently working on CPU performance tools and modeling within Google's TensorFlow/performance teams. His career spans silicon and software across companies like Esperanto, Wave Computing, Synaptics, and AMD, where he led execution-engine modeling, performance analysis of multithreaded microarchitectures, and RTL-to-simulator correlation. He has built tooling and firmware to extract and validate performance data for real-world deep learning workloads, and contributed to MLPerf benchmarking and infrastructure. Trained as a PhD-level researcher in electrical and computer engineering, he combines rigorous academic foundations with hands-on emulator bring-up, simulation, and pre-/post-silicon debugging experience. A less obvious strength is his consistent focus on bridging architecture and software—turning waveform and counter data into actionable performance insights that improve both hardware and ML stack efficiency.
5 years of coding experience
17 years of employment as a software developer
Lycee Leonin
PhD Electrical And Computer Engineering, PhD Electrical And Computer Engineering at The University of Texas at Austin
BS Computer Engineering and Informatics, BS Computer Engineering and Informatics at University of Patras
MS Electrical and Computer engineering, MS Electrical and Computer engineering at Northeastern University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.