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Anh-Tho Chuong is a highly accomplished engineering leader with extensive experience in Artificial Intelligence, Machine Learning, and large-scale system development. Currently serving as a Senior Director of Engineering at Google, Anh-Tho has been pivotal in leading teams and initiatives related to Google's core AI products, including Search, Google Assistant, and more recently, the Bard and Gemini models. Their expertise spans Natural Language Processing (NLP), information retrieval, and building user-centric AI applications. Anh-Tho holds a PhD in Computer Science from EPFL (École Polytechnique Fédérale de Lausanne), a world-renowned research institution, which provided a strong foundation for a career dedicated to pushing the boundaries of AI technology and delivering innovative solutions to users globally.
Anh-Tho Chuong's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As a Senior Director of Engineering, played a significant leadership role in the development and strategy for Google's advanced AI models, including Bard and Gemini, focusing on their integration into various Google products and ensuring responsible AI practices.
Led engineering teams responsible for enhancing the intelligence and capabilities of Google Assistant and core Google Search functionalities, improving user experience through advanced machine learning and NLP techniques.
Earned a doctorate from École Polytechnique Férale de Lausanne, a top-tier European university, specializing in areas foundational to AI and distributed systems, which has significantly shaped their technical leadership and innovative contributions.
Demonstrated success in leading teams to build, launch, and scale complex AI-driven products to millions of users, managing both technical challenges and product vision.
ESCP Europe
Asian Institute of Technology
Collège Stanislas Paris
Lycée Levavasseur
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Lago is an open-source metering and usage-based billing API. It helps businesses, particularly SaaS companies, to implement flexible, pay-as-you-go pricing models by accurately tracking product usage, calculating corresponding charges, and automating invoicing. It's designed for developers to integrate complex billing logic into their applications.
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