Val Savvateev is a seasoned software engineer and tech lead with 13 years of experience building scalable backend and recommendation systems, currently contributing to personalization at YouTube. He has deep expertise across large-scale systems, machine learning, and real-time communication platforms from roles at Exitround, Clementine Labs (acquired by Dropbox), and Avira, often serving as a technical lead and mentor. As an early employee and architect he has shipped end-to-end products—mobile, backend, and security integrations—including a consumer game he founded and released to the App Store. Val combines academic grounding in computer science with continuing AI study at Stanford, and a knack for turning research-driven ML ideas into production-ready features. Based in California, he blends startup grit with enterprise-grade engineering, and is particularly interested in VR, gaming and music applications of ML that go beyond conventional recommendation work.
13 years of coding experience
20 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Jobs in Russia
An Introduction to Artificial Intelligence: How Neuroscience Is Creating Smarter Technologies, An Introduction to Artificial Intelligence: How Neuroscience Is Creating Smarter Technologies at Stanford Continuing Studies
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