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Gregor
Sotnikov
Machine Learning Engineer
Snap Inc
Grigorii is a Machine Learning Engineering Manager at Snap, where he leads a team on the Generative ML Platform building creator-facing generative AI tools in Lens Studio and Easy Lens, including FaceGen and StyleGen. His work focuses on taking generative models from research to production at consumer scale: real-time on-device experiences used by hundreds of millions of Snapchatters, backed by the training, evaluation, and safety infrastructure that lets community creators reliably ship thousands of AI-powered AR experiences. Before Snap, he was Head of Computer Vision and Machine Learning behind Gradient and Persona, consumer AI photo and video apps used by millions of people worldwide. He is a co-author of papers at ICCV and NeurIPS and a named inventor on patents in on-device generative AI.
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26 August 2026 12:00 - 12:30
Panel | Who’s really in control? Designing and governing autonomous agent systems
As systems take on more autonomy, control doesn’t disappear, it just becomes harder to define. Decisions are no longer made in a single step. They emerge across prompts, tools, and workflows that evolve over time. What looks controlled in isolation can behave differently once systems are live, making ownership, accountability, and intervention less straightforward. This panel explores where control actually sits in modern AI systems, how teams are designing for it, where it breaks down, and what it takes to keep systems predictable without slowing them down. Key takeaways: → Where control shifts as systems become more autonomous → How teams balance flexibility with guardrails in practice → What it takes to maintain oversight without introducing friction