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Daniel
Dogaru
AI Software Engineer
Meta
Daniel Dogaru is a seasoned software engineer with experience at Adobe and Meta, where he worked on some of the industry’s most influential design and collaboration products. At Adobe, he contributed to flagship tools such as Adobe XD and Creative Cloud. At Meta, he played a key role in building Workrooms, one of the company’s first social VR meeting products. Currently a Software Engineer at Meta, Daniel brings deep expertise across C++, frontend and backend development, machine learning, and founder-level product thinking.
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02 December 2025 12:00 - 12:30
Panel | Building faster, more efficient agents - accelerating adoption across the enterprise
If your agents can’t keep up, your adoption roadmap stalls. From latency spikes to scaling limits, performance bottlenecks can quickly turn promising prototypes into costly failures. In this panel, engineering leaders unpack the technical strategies for squeezing every drop of efficiency out of autonomous agents and show how speed gains directly translate into wider enterprise adoption and operational value. Expect practical insights on building for real-time decision-making, optimizing resource allocation, and integrating seamlessly across complex enterprise environments. Key takeaways: → Techniques for reducing latency and improving real-time responsiveness. → Optimizing resource allocation without compromising agent performance. → Architectures that scale efficiently across diverse workloads. → How performance improvements accelerate enterprise adoption.