Elizaveta Lobanova is an AI software engineer with six years of experience building production-ready ML and embedded systems software, currently developing AI solutions at YADRO. Her background includes AI frameworks and inference optimization at Intel (OpenVINO, GNA) and extensive C++/Qt and embedded networking work spanning Thread, CANopen, and real-time OS ports. She brings a rare combination of deep systems-level expertise and machine learning deployment experience, able to bridge low-level drivers and high-level inference stacks. Trained in computer programming and holding a PhD in biology, she applies rigorous research instincts to engineering problems and has led small teams through complex integrations. Based in Nizhniy Novgorod, she is comfortable shipping across Linux, QNX, FreeRTOS and cross-platform environments. An engineer who thrives on translating academic rigor into robust production software, she often operates at the intersection of embedded constraints and AI performance tuning.
6 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biology/Biological Sciences, General, Doctor of Philosophy (Ph.D.), Biology/Biological Sciences, General at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
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Elizaveta Lobanova - AI Software Engineer at YADRO