Senior Software Engineer, Core and Visual Computing Group
Andrey Malyshev is an architect of the Intel OpenVINO Inference Engine. Andrey is responsible for the design of ease-of-use solutions for inference on Intel hardware platforms from the edge to the datacenter, and developed support of efficient inference in heterogeneous mode. Andrey’s interest in deep learning covers post training quantization and model optimization for efficient inference. Prior to Inference Engine development, Andrey was responsible for development of binary analysis tools for profiling of memory usage and threading applications behavior to help customers address performance or correctness issues in their applications. Andrey has received a master’s degree in Mathematics from Nizhny Novgorod State University.
Deep learning framework optimizations and tools that streamline deployment are advancing the adoption of inference applications on Intel® platforms. Reducing…
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