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How has John Mosquera been focusing on efficiency and cost-effectiveness in his recent projects?
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John Mosquera has been focusing on efficiency and cost-effectiveness in his recent projects by adopting best practices in cloud and AI/ML. In cloud deployments, he uses Infrastructure as Code (IaC) tools like Terraform and Pulumi to ensure that resources are provisioned efficiently and cost-effectively.John also leverages CI/CD pipelines to automate the deployment process, reducing manual effort and ensuring that applications are deployed quickly and reliably. His use of shell and Python scripts further enhances automation, improving overall efficiency.In AI/ML projects, John focuses on using open-source models and tools to minimize costs while maximizing performance. He fine-tunes models to ensure that they are both effective and efficient, using resources like his local NVIDIA GPU and cloud platforms like Colab and Kaggle. By prioritizing efficiency and cost-effectiveness, John ensures that his projects deliver maximum value. John Mosquera has been focusing on efficiency and cost-effectiveness in his recent projects by using IaC tools, CI/CD pipelines, and automation scripts. In AI/ML, he leverages open-source models and optimizes performance using local and cloud resources. His approach ensures that projects are both efficient and cost-effective, delivering maximum value.