Senior AWS DevOps Engineer with CloudOps & AI/ML
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I have a strong background in AWS and cloud infrastructure, specializing in DevOps practices. My experience spans over the last several years, where I have been involved in deploying and managing applications in the cloud, ensuring high availability and scalability. I thrive on optimizing systems for performance and reliability, utilizing a variety of AWS services. Throughout my career, I have worked extensively with Amazon CloudWatch, AWS CloudTrail, and AWS Fargate. These tools have allowed me to monitor applications effectively and manage resources dynamically. I am also proficient in EKS for orchestrating containerized applications, which has significantly improved our deployment processes. In addition to my technical skills, I believe in continuous learning and keeping up with the latest trends in cloud technologies and AI/ML. My goal is to leverage these advancements to drive innovation and efficiency within the teams I work with, ensuring that we stay ahead in a competitive landscape.
I have a strong background in AWS and cloud infrastructure, specializing in DevOps practices. My experience spans over the last several years, where I have been involved in deploying and managing applications in the cloud, ensuring high availability and scalability. I thrive on optimizing systems for performance and reliability, utilizing a variety of AWS services. Throughout my career, I have worked extensively with Amazon CloudWatch, AWS CloudTrail, and AWS Fargate. These tools have allowed me to monitor applications effectively and manage resources dynamically. I am also proficient in EKS for orchestrating containerized applications, which has significantly improved our deployment processes. In addition to my technical skills, I believe in continuous learning and keeping up with the latest trends in cloud technologies and AI/ML. My goal is to leverage these advancements to drive innovation and efficiency within the teams I work with, ensuring that we stay ahead in a competitive landscape.
A project aimed at optimizing cloud resources for a large-scale application.
Developing and deploying machine learning models using AWS services.
Set up a CI/CD pipeline to automate testing and deployment.
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