Ines Roubaud
,United Kingdom
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Ines Roubaud is a highly regarded Machine Learning Art Engineer at Hugging Face, specializing in generative AI and its applications in art and creative content generation. She plays a pivotal role in developing and evangelizing tools like the Diffusers library, making cutting-edge diffusion models accessible to a broader audience of developers and artists. With a strong background in data science and AI product development from her previous role at Artefact, Ines possesses a unique blend of deep technical expertise and a keen understanding of user needs in the creative AI space. She is passionate about the intersection of art and technology, open-source contributions, and educating the community on the potential and responsible use of generative models. Her work often involves creating compelling demonstrations, writing technical blog posts, and engaging with the AI community to foster innovation.
Professional Summary
Ines Roubaud's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Key Contributor to Hugging Face Diffusers Library
Instrumental in the development, maintenance, and popularization of the Diffusers library, a leading open-source toolkit for state-of-the-art diffusion models for image, audio, and 3D generation.
Advocate and Educator for Generative AI
Actively educates the tech and art communities on generative AI through insightful articles on the Hugging Face blog, tutorials, and presentations at conferences, simplifying complex concepts for wider understanding and adoption.
Pioneering ML Art Engineering
As one of the prominent figures in the role of 'ML Art Engineer,' Ines is helping to define and shape this emerging interdisciplinary field that combines machine learning expertise with artistic sensibilities to create novel AI-powered creative tools.
Driving Open-Source AI Innovation
Consistently contributes to the open-source AI ecosystem, not only through code but also by fostering community engagement and promoting collaborative development of AI tools and models.
Educational Background
Master's in Management
ESCP Europe - Year 2008
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Company Overview
dunnhumbydunnhumby is a global leader in customer data science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. They help retailers and brands build loyalty and drive sales by understanding customer behavior through data analysis, enabling personalized experiences and optimized strategies. Best known for their pioneering work with Tesco Clubcard, they now work with diverse clients worldwide.
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