Summary
Zahi Cohen is a Machine Learning Engineer with nine years of experience, currently building algorithms and an emulation engine at Hailo to optimize LLMs, Transformers, ViTs and detection models for efficient deployment on edge AI accelerators. He combines hands-on model optimization in Keras and PyTorch with low-level performance insight, enabling reliable, high-throughput inference and generative AI use cases on custom hardware. Prior roles at Synopsys and Intel sharpened his systems and firmware instincts—implementing core IDE algorithms and image-processing firmware—while an early career as an intelligence officer contributes to his disciplined, security-conscious approach to engineering. Trained at the Technion in computer engineering, he brings a rare blend of algorithmic ML expertise and practical hardware-aware engineering that accelerates model-to-chip delivery.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, 89, Bachelor of Science - BS, Computer Engineering, 89 at Technion - Israel Institute of Technology
English, Hebrew