David Cardozo
Chief Lead Analyst
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Data Scientist and technologist focused on building embedded systems to use novel techniques, and state of the art technologies (Podman, Balena, TensorFlow, Flutter) in machine learning. Software developer with experience in software exploitation, information security, open-source development and DevOps practices. Community leader for the data science community in Colombia and guest lecturer for computer science. Currently working as a Google Developer Expert in Machine Learning and Chief Lead Analyst for Updata in Canada.
Vertex AI and Kubeflow Easy MLOps
With Kubernetes and Vertex AI Pipelines emerging as the de-facto standard for container orchestration, there's a growing demand for a tailored solution that accommodates ML workloads. Enter Kubeflow: a platform designed to make deploying, monitoring, and maintaining ML projects on Kubernetes as simple as possible. Whether you're a data scientist, ML engineer, or DevOps professional, understanding Kubeflow is pivotal in the modern ML ecosystem. Join us as we demystify Kubeflow and its components, and guide you through its application in real-world scenarios.
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