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Atsuyoshi Shimazu is a distinguished engineering leader at Google, specializing in Machine Learning Operations (MLOps), AI platforms, and large-scale distributed systems. He has been a pivotal figure in the development and popularization of critical open-source projects like Kubeflow and TensorFlow Extended (TFX), which are instrumental in building and deploying production-grade machine learning pipelines. Atsuyoshi is passionate about bridging the gap between ML research and real-world application, enabling organizations to leverage AI effectively and responsibly. He frequently shares his insights at industry conferences and through technical publications, contributing significantly to the MLOps community.
Atsuyoshi Shimazu's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a foundational role in conceiving, developing, and promoting Kubeflow, an open-source Machine Learning Toolkit for Kubernetes, making it easier to deploy, manage, and scale ML workloads.
Led and significantly contributed to the engineering of TensorFlow Extended (TFX), Google's end-to-end platform for deploying production ML pipelines, which has become an industry standard.
Championed MLOps best practices through his work at Google and contributions to the open-source community, enabling more robust, reproducible, and scalable machine learning operations for enterprises worldwide.
Recognized as a prominent speaker and author on topics related to MLOps, AI platforms, and machine learning infrastructure, sharing expertise at major conferences like KubeCon, Google Cloud Next, and O'Reilly AI.
京都大学 / Kyoto University - Year 2003
グロービス経営大学院 / Graduate School of Management, Globis University - Year 2013
早稲田大学 / Waseda University - Year 1999
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Caulis Inc. is a Japanese cybersecurity company focused on developing and providing advanced fraud detection solutions. Their flagship product, 'Fraud Alert,' leverages unique device identification technology and behavioral analysis to protect online services and users from unauthorized access, identity theft, and other fraudulent activities. They aim to create a safer digital environment for businesses and consumers by proactively identifying and mitigating security risks.
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