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What best practices has John Mosquera been following in his recent cloud and AI/ML projects?
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John Mosquera has been following best practices in his recent cloud and AI/ML projects to ensure efficiency, reliability, and scalability. In cloud deployments, he uses Infrastructure as Code (IaC) tools like Terraform and Pulumi to automate resource provisioning and ensure consistency. He also leverages CI/CD pipelines with tools like GitHub Actions and Azure DevOps to streamline the deployment process.In AI/ML projects, John focuses on using open-source models and tools to minimize costs while maximizing performance. He fine-tunes models using resources like his local NVIDIA GPU and cloud platforms like Colab and Kaggle, ensuring that they are both effective and efficient.John also emphasizes modularity and documentation, ensuring that systems are flexible and well-documented. By following these best practices, John ensures that his projects are both high-quality and scalable, delivering maximum value. John Mosquera has been following best practices in his recent cloud and AI/ML projects, including using IaC tools, CI/CD pipelines, and open-source models. He focuses on efficiency, reliability, and scalability, ensuring that projects are both high-quality and cost-effective. His emphasis on modularity and documentation further enhances the flexibility and maintainability of his solutions.