Julian Saborido

Julian Saborido is a skilled Data Engineer with extensive experience in data management and analysis. Currently employed at DEUS since December 2022, Julian previously held roles at Minsait where contributions included developing the semantic layer of Vodafone’s Cloud Datawarehouse and implementing data migration pipelines using SQL, Big Query, and Cloud DataFusion. Prior to that, Julian worked at FDS, a DXC Technology Company, managing analytical information tables for Inditex and supporting the Galician Health Service's analytical information warehouse. Julian's educational background includes a Master’s Degree in Massive Data Analysis Technologies from Universidad de Santiago de Compostela and a Degree in Computer Engineering from the same institution.

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Cee, Spain

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DEUS: human(ity)-centered AI

Welcome to the DEUS initiative - when it became clear the scale of the impact that artificial intelligence will create on all our futures, we felt the need to help shape those futures. We believe that through data, engineering, user-experience and strategy, we are unlocking services that will transform the way we live. Our mission can be summed up very simply: ‘de auxillo auxilium’. We build the 'machines of assistance'. We help to reduce waste, to increase health and safety, to remove inefficiencies. We assist in optimising time, increasing accuracy, minimizing carbon footprints. We use data, design and technology to solve problems and opportunities elegantly, ethically and efficiently. All for the benefit of humans and humanity. It is our responsibility to explore the frontier of AI to create new human(ity)-centered processes that make it easier and cheaper and better to do the right thing. We need to be diligently prepared and smarter to reduce wasted energy. We need to make products and services that adapt to work more effectively and last longer. We humans will design them. Data will power them. Technology will unlock them. Become part of our quest at www.deus.ai. The DEUS initiative: Human(ity)-Centered AI.


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51-200

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