DeepCube
Tamar Levy has worked as a software engineer since 2008. Tamar began their career as a Software Engineer at Dane-Elec, where they developed the company's flagship product which won the International Consumer Electronics Show (CES) 2010 Innovations Award. Tamar then worked as a freelance consultant as a Drupal Developer. In 2012, they joined Intel Corporation as a Senior Software Engineer, where they were responsible for embedded C/C++ software development, designing and shipping EPID-SDK open source security software for chips and small devices, creating unit tests and tools to maintain the product through its lifecycle, and supporting multiple platforms. Tamar also practiced Agile/Scrum development methodologies and added features to the existing product. In addition, they provided support to third party product developers as a Software Application Engineer. Tamar Levy is currently employed as a Senior Software Engineer at DeepCube, a role they have held since 2022.
Tamar Levy graduated with a B.Sc. in Computer Science from Bar-Ilan University in 2008. Tamar is currently pursuing a Master's degree in Machine Learning from Tel Aviv University, which is expected to be completed in September 2022.
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DeepCube
DeepCube is an award-winning deep learning pioneer that provides the industry’s first software-based inference accelerator to drastically improve deep learning performance on existing hardware. Modeled after the way the human brain develops during childhood, DeepCube’s patented technology is the first to be purpose-built for deployment of deep learning models on data centers and intelligent edge devices. Its proprietary framework can be deployed on top of any existing hardware, resulting in drastic speed improvement and memory reduction.