Summary
Andrii Zhuravchak is a Senior Machine Learning Engineer with 11 years of experience building production-ready ML systems and research prototypes across industry and academia. He has delivered deployed solutions from edge-friendly sensor models and touch-position networks used in millions of devices to real-time video exercise tracking and rapid-update recommendation systems. His recent work spans ML research at ZibraAI and human sensing and energy-efficient data compression for activity recognition at Washington State University, achieving up to 8-12x compression with minimal accuracy loss. Now at Tesco Technology in Krakow, he focuses on bridging deep learning research and scalable product engineering. Comfortable across C/C++, Python, embedded systems and cloud pipelines, he brings both low-level firmware expertise (hardware wallets, robotics data collection) and high-level model deployment experience. Colleagues describe him as a pragmatic researcher who turns novel sensing ideas into robust, production-quality systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Ukrainian Catholic University
Master of Engineering - MEng Computer Engineering, Master of Engineering - MEng Computer Engineering at Washington State University
Ukrainian, English, Polish