Kseniia Terekhova is a Machine Learning Engineer at POLYN Technology, specializing in neural network transformations for TinyML chips since December 2022. Previously, Terekhova was a Senior Engineer at Huawei, focusing on neural network optimization for the DaVinci architecture NPU chip and explored 8-bit floating-point quantization-aware training for various image classification models. Terekhova's earlier experience includes roles as a .Net Developer and Senior .Net Developer at Kaspersky Lab, where multiple features for products and services were implemented, as well as a Senior Software Engineer at Sitronics Telecom Solutions, developing services for a major Russian telecom company. Additionally, Terekhova worked as a Software Developer at Cognitive Technologies, creating document flow applications and services for scientific and governmental organizations. Terekhova holds a Master's degree in Software for Computers and Automation Systems from Bauman Moscow State Technical University.
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