AI Engineer WF 2026
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Speakers/Niels Rogge
Niels Rogge

Niels Rogge

Hugging Face

@NielsRogge

Niels works as a Machine Learning Engineer at Hugging Face as part of the Community Science team. Together with @_akhaliq (also known as AK), which you might know from posting trending research papers, he ensures researchers improve the discoverability and visibility of their artifacts by making them available on the hub with proper links to the paper, write model and dataset cards and more.

Sessions (1)

How I automate my own job at Hugging Face using agents
2:50 PM·Leadership 2 · Room 3020

This talk will showcase how I automated a large part of my own job at Hugging Face. This involves both open (GLM-5.1) and closed-source models (Claude, Gemini), the Claude Agents SDK, serverless infra like Modal and Hugging Face Jobs. I will also discuss how I use agentic coding tools like Cursor and Codex to implement AI agents which automate my job, and how everything is connected to the internal Slack of Hugging Face.

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