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Ben
Burtenshaw
Machine Learning Engineer
Hugging Face
Ben Burtenshaw is a Machine Learning Engineer at Hugging Face, driven by a passion for building and sharing high-quality AI datasets. His journey began in academia, researching generative applications in healthcare and developing tools for evaluating narrative generation. He then transitioned to industry, tackling challenges in sales enablement, MLOps, and data labeling. Currently, Ben focuses on empowering engineers and domain experts to create impactful datasets through his work at Hugging Face. He actively contributes to the open-source community by sharing tools, organizing community projects, and developing educational resources like the "smol course" to make AI more accessible. Ben's expertise spans data curation, synthetic data generation, instruction tuning, and LLM fine-tuning, reflecting his dedication to advancing the field of AI through practical, hands-on solutions.
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11 September 2025 09:00 - 09:30
Beyond pipelines: Leveraging MCP and A2A protocols for dynamic, modular AI architectures
Static inference pipelines are giving way to dynamic, modular AI architectures. In this session, we’ll explore how MCP (Multi-Component Protocols) and A2A (Agent-to-Agent) communication enable composable systems that support real-time coordination, fault tolerance, and adaptive task delegation across distributed components. Gain insights into designing AI workflows where agents interact autonomously, manage dependencies, and scale horizontally laying the foundation for next-gen generative systems.