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Pere Mayol is a distinguished engineering leader with over two decades of experience in designing, building, and scaling complex distributed systems, with a strong focus on artificial intelligence and machine learning infrastructure. He has held significant leadership roles at major technology companies, driving innovation in areas like AI hardware acceleration, large-scale ML platforms, and efficient system architecture. Pere is recognized for his deep technical expertise, his ability to lead high-performing engineering teams, and his contributions to cutting-edge technologies that power a wide array of AI-driven products and services. His work often involves bridging the gap between hardware and software to optimize performance and efficiency for demanding AI workloads.
Pere Mayol's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a pivotal role as a VP & Distinguished Engineer at Google, leading teams responsible for AI/ML systems, including significant contributions to Google's TPU (Tensor Processing Unit) development and other machine learning infrastructure. His work enabled the scaling of Google's AI capabilities across various products.
Spearheaded initiatives in designing and implementing highly scalable and reliable distributed systems, critical for supporting global-scale applications and services, particularly in the context of search, advertising, and cloud computing.
Contributed to the co-design of hardware and software for AI acceleration, ensuring that software stacks and ML models optimally leverage underlying hardware capabilities for enhanced performance and efficiency.
Influential in the architecture and development of platforms that support the entire lifecycle of machine learning models, from data ingestion and training to deployment and monitoring at scale.
Esade - Year 2007
Universitat Politècnica de Catalunya - Year 1990
Sant Ignasi de Sarrià
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Avatar Cognition is an artificial intelligence company focused on developing advanced AI software for human-robot interaction. Their technology aims to enable robots to better understand, interpret, and respond to human intentions, emotions, and social cues, thereby fostering more natural, intuitive, and effective collaboration between humans and robots in various settings, including industrial, service, and personal robotics.
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