Sagar Rathod
@sagarrathod1
Aspiring DevOps engineer with expertise in cloud and containerization.
What I'm looking for
I am a recent graduate in Computer Science and Engineering from SIT, Shetty Institute of Technology, with a strong foundation in DevOps practices and cloud computing. My academic journey has equipped me with the skills necessary to deploy and manage scalable applications using modern technologies such as AWS, Docker, and Kubernetes.
During my internship at Minds Nxt Techno Vision, I contributed to a project focused on gender and age detection using Python and Keras, which honed my programming skills and understanding of machine learning concepts. I have successfully completed several projects, including deploying a 3-tier architecture on AWS EKS and implementing CI/CD pipelines with Jenkins, showcasing my ability to manage complex deployments and ensure continuous integration.
Experience
Work history, roles, and key accomplishments
DevOps Engineer
Self-Employed
Jan 2023 - Present (2 years 4 months)
Developed and deployed various projects utilizing AWS EKS, Docker, and Jenkins. Managed CI/CD pipelines and orchestrated Kubernetes resources for scalable application deployments.
DevOps Intern
Minds Nxt Techno Vision Private Limited
Jun 2022 - Aug 2022 (2 months)
Completed an internship focused on developing a system for detecting age and gender from a dataset using Python and Keras. Gained hands-on experience in machine learning and data processing.
Education
Degrees, certifications, and relevant coursework
Shetty Institute of Technology
Bachelor of Engineering, Computer Science and Engineering
2019 - 2023
Grade: 7.5
Activities and societies: Participated in various projects including E-Com 3-Tier on EKS and Petshop App CI/CD on Kubernetes, focusing on DevOps tools and methodologies.
Studied Computer Science and Engineering with a focus on DevOps practices, cloud computing, and containerization technologies. Achieved a CGPA of 7.5 while engaging in various projects that involved deploying applications using Kubernetes and AWS.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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