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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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02 December 2025 12:00 - 12:30
Panel | From pilot to production: Building enterprise-ready AI systems
Running a generative AI pilot is one thing, turning it into a secure, scalable system is another. In this panel, engineering leads share how they’re architecting production-ready GenAI systems within complex enterprise environments. From infrastructure choices and API orchestration to data governance, latency trade-offs, and model oversight, we’ll explore the design decisions, tooling, and guardrails needed to move from experiment to enterprise-grade. → Strategies for scaling GenAI with the right technical foundations and internal controls. → How to navigate cross-functional demands from compliance, risk, and platform teams.