Saar Eliad

Saar Eliad has worked in the AI field since 2016. In that year, they began their career as a Network Architect for Mellanox Technologies, where they were responsible for the performance evaluation of InfiniBand Adaptive Routing using simulations. In 2019, they became an AI Research Intern for Intel Corporation, where they focused on compression techniques for Transformer models. Currently, they are an AI Research & Development at NeuReality, where they are the AI technical lead conducting in-depth research and analysis of AI pipelines, algorithms and systems in various domains including NLP, ASR, vision/video, retrieval and recommendation, as well as relevant inference optimizations. Saar'sfocus is on building a system which allows efficient, accelerated execution of AI pipelines, while winning in key practical metrics.

Saar Eliad obtained a Bachelor of Science (B.Sc.) in Computer Engineering from the Technion - Israel Institute of Technology between 2014 and 2018. Following this, they pursued a Master of Science (M.Sc.) in Computer Science at the same institution, graduating in 2021.