Assaf Israel is a Staff Software Engineer with a decade of experience building large-scale cloud and ML systems, currently contributing to Google DeepMind and Bard/LaMDA projects in Redmond. He blends hands-on engineering with R&D experience from Microsoft and IBM Research, specializing in NLP, virtualization stacks, and web-scale distributed computing with a focus on fault tolerance and high availability. Known for pragmatic software design and programmatic rigor, he has led feature engineering and mass-scale ML services on Azure and brought tooling to life for large language models. An experienced mentor and educator from his years as a head TA at Technion, he emphasizes safer, more productive development practices across teams. Assaf’s background spans both academic research and enterprise delivery, with a knack for turning algorithmic ideas into production-ready cloud services. He often pairs out-of-the-box thinking with deep systems knowledge—bridging low-level VM/network concerns and high-level ML applications.
10 years of coding experience
9 years of employment as a software developer
M.Sc Computer Science, M.Sc Computer Science at Technion - Israel Institute of Technology
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Assaf Israel - Staff Software Engineer at Google DeepMind