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Paula Menéndez Pausa is a distinguished Staff Software Engineer and Tech Lead Manager at Google, based in Zurich. She is a key figure in Google's Core Machine Learning team, where she focuses on developing and enhancing ML infrastructure, with a particular emphasis on TensorFlow and large-scale ML systems. Paula is deeply committed to the principles of Responsible AI, actively working on making AI systems more fair, interpretable, and reliable. With a PhD in Computer Science, her expertise spans from theoretical research to practical application in building cutting-edge machine learning solutions. Paula is also a recognized voice in the tech community, frequently speaking at international conferences about MLOps, machine learning infrastructure, and diversity in tech. She is passionate about mentoring and advocating for women in engineering and technology.
Paula Menéndez Pausa's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and manages a team of software engineers at Google focused on critical machine learning infrastructure, directly impacting Google's AI capabilities and product development across various services.
Actively contributes to research and implementation of Responsible AI principles within Google, aiming to build AI systems that are ethical, fair, transparent, and accountable.
Possesses deep expertise in designing, building, and scaling machine learning systems, particularly utilizing TensorFlow, to handle complex AI workloads for Google's global user base.
Regularly invited to speak at prestigious tech conferences such as Google I/O, KubeCon, and TensorFlow Dev Summit, sharing insights on ML infrastructure, MLOps, and responsible AI development.
Actively involved in initiatives promoting diversity and inclusion in the technology sector, with a particular focus on supporting and mentoring women in engineering and AI fields.
University of California, Berkeley - Year 2020
HEC Paris - Year 2019
École Polytechnique - Year 2019
Isep - École d'ingénieurs du numérique - Year 2016
Universidad CEU San Pablo - Year 2014
International School of Madrid - Year 1997
Rhode Island School of Design - Year 2010
University of the Arts London - Year 2009
University of Cambridge
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Oly is a platform built to empower athletes, sports organizations, and brands by providing innovative tools for fan engagement, monetization, and community building. It focuses on leveraging digital technologies like NFTs and fan tokens to help athletes connect directly with their supporters, manage their brand, and unlock new revenue streams. For fans, Oly offers unique ways to interact with and support their favorite athletes and teams.
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