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Pau Vivas is a highly accomplished Staff Software Engineer and Tech Lead at Google, based in Barcelona, specializing in Artificial Intelligence (AI) and Machine Learning (ML). He has a strong track record of leading engineering teams and delivering cutting-edge AI solutions and infrastructure. Pau is passionate about building intelligent systems that solve real-world problems and has contributed significantly to areas such as natural language processing, computer vision, and scalable ML platforms. His work often involves bridging the gap between research and production, ensuring that innovative ideas translate into impactful products. He is known for his deep technical expertise, leadership qualities, and his contributions to the AI community.
Pau Vivas's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Holds a senior technical leadership position at Google, spearheading key AI and Machine Learning initiatives. Responsible for guiding teams in the development and deployment of advanced AI models and infrastructure, significantly impacting Google's products and services.
Demonstrated expertise in designing, building, and scaling complex AI and Machine Learning systems for production environments, handling massive datasets and high-throughput requirements.
Contributed to practical applications and advancements in various machine learning domains, including deep learning, natural language understanding, and recommender systems, often publishing or presenting findings.
Actively involved in mentoring junior engineers and providing technical guidance within Google, fostering a culture of innovation and engineering excellence in the AI/ML space.
Universidad de Valencia - Year 2005
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Delitbee offers a SaaS platform for last-mile delivery logistics, enabling businesses to optimize delivery operations, manage fleets, and enhance customer experience. They focus on providing efficient, sustainable, and data-driven solutions for sectors like e-commerce, food delivery, and retail, aiming to make deliveries smarter and more cost-effective.
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