Dinesh Yeduguru

Software Engineer
Meta

Dinesh Yeduguru is a software engineer specializing in large language models (LLMs) and open-source development. He plays a key role in building Llama Stack, a framework that simplifies the creation and deployment of generative AI applications through unified APIs and a plugin architecture.

Before Meta, Dinesh worked at Google, contributing to YouTube’s payment and billing orchestration platform. At Airbnb, he developed a MySQL-based storage service, and at Segment, he built GDPR and privacy-focused data platforms. His experience also includes Palantir Technologies, where he worked on secure deployment platforms.

Dinesh is passionate about advancing AI and open-source tools. Learn more about Llama Stack: llama-stack.readthedocs.io

Dinesh Yeduguru’s Session

8:45 a.m.–9:30 a.m. PT — Thursday, September 18, 2025

Inside the AI Agent: Core Components and Enterprise Impact

AI agents are transforming the way businesses operate, enabling automation, decision-making, and task execution at scale. Llama Stack Agents provide a structured framework for building these intelligent systems, offering modular APIs and seamless integrations that allow organizations to leverage AI in real-world applications.

In this session, we’ll break down the fundamental components of AI agents—how they process information, interact with tools, and drive outcomes. We'll illustrate these concepts with enterprise use cases, demonstrating how businesses can apply AI agents to enhance workflows, optimize operations, and unlock new efficiencies. Designed for decision-makers and strategists, this session will provide a clear, practical understanding of how AI agents work and how they can be implemented to drive value in your organization.

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