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Join us for an evening with Andrii Olefirenko, Senior Software Engineer at Meta, as he explores what it truly takes to move AI from prototype to production. Andrii will share lessons from building systems that operate at scale, beyond demos & experiments, into real-world environments.
Many AI pilots never make it to production. Drawing from his experience engineering large-scale systems, Andrii Olefirenko will break down the infrastructure, reliability, & organizational alignment required to ship AI that performs under real-world constraints. From edge devices to enterprise teams, this session explores how AI becomes operational, not just experimental.
Andrii Olefirenko is a Senior Software Engineer at Reality Labs at Meta, where he builds AI-powered systems that operate at the intersection of hardware, software, & machine learning. His work focuses on shipping production-grade AI infrastructure that enables real-time, context-aware experiences in emerging computing platforms. Previously, Andrii was a Software Development Engineer at Amazon Web Services, contributing to large-scale distributed systems & cloud infrastructure. With a background spanning NLP, computer vision, & DevOps, he brings a systems-level perspective to what it takes to move AI from experimentation to scalable, real-world deployment.
Shipping AI is harder than building a demo. Andrii Olefirenko shares what it takes to move from prototype to production, design reliable systems under hardware & latency constraints, & align teams to scale AI responsibly.
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The Evolution of Agentic Systems
Understand how AI is moving from reactive chat interfaces to autonomous systems capable of planning & executing tasks. Explore the architectural implications of memory, orchestration, tool use, & control loops in modern agentic workflows.
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From Prototype to Production
Learn why most AI pilots stall & what is required to ship successfully. From infrastructure & monitoring to evaluation & runtime reliability, discover the components necessary to deploy AI systems beyond experimentation.
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AI at the Edge
Explore what changes when AI runs inside physical devices. Examine how engineers balance latency, power efficiency, hardware constraints, & user experience when deploying multimodal, agentic systems in real-world environments.
What's Included
Gourmet Light Refreshments - Enjoy a curated selection of artisanal bites & small plates, perfect for connecting with colleagues.
Settle in for easy conversation & good company in a warm, welcoming space. With a thoughtful selection of beer & wine on hand, it's the perfect backdrop for winding down or catching up.
Have dietary restrictions?
To ensure we can accommodate your dietary needs, please inform us at least 48 hours before the workshop start date.
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