Sep 2024 – Dec 2024 · 3 mos · Hyderabad · Remote

Aug 2024 – Oct 2024 · 2 mos · Bengaluru, Karnataka, India · Remote

• Hands on experience in areas of DevOps, CI/CD Pipeline, Containerization, AWS, and Linux/ Unix Administration, HashiCorp Terraform.
• Demonstrated proficiency in AWS Cloud services during internship, managing key components like EC2, S3, EBS, VPC, ELB, ECR, AMI, SNS, RDS, IAM, Route-53, AutoScaling, CloudWatch, and Security Groups.
• Managed source code effectively using GitHub, including hands-on experience with branching, tagging, and maintaining version control across different environments.
• Actively contributed to CI/CD methodologies using Jenkins during the internship, handling CI for building and managing Jenkins for sharing artifacts.
• Developed technical competence in containerization tools, specifically Docker. Acquired hands-on proficiency in creating custom Docker Images using Docker files and converting docker images into containers, during the internship. Successfully created Docker Volumes and managed Docker Networking as part of the internship experience.
• Applied practical proficiency in Kubernetes, orchestrating containerized applications, creating and managing clusters with master and worker nodes, implementing service communication, and contributing to the scalability and resilience of applications within a dynamic containerized environment.
• Demonstrated hands-on proficiency in Terraform, provisioning and managing AWS resources, developing reusable modules, implementing high availability configurations, practicing dynamic variable usage, and contributing to version-controlled infrastructure, showcasing a comprehensive understanding of Infrastructure as Code (IaC) principles.
• Exhibited hands-on expertise in Ansible, writing playbooks, modules, and roles to automate configuration management tasks

Aug 2020 – Sep 2020 · 1 mo · Bengaluru, Karnataka, India

• Internship at XON Labs, as Software developer, where I worked on a project called SENTIMENT ANALYSIS OF TWEETS & MOVIE REVIEW CLASSIFICATION, the project classifies the polarity of a given text at the document, sentence, or feature/aspect level, whether the expressed opinion in a document, a sentence is positive, negative, or neutral.
• We used Big Data and Machine Learning techniques and deployed the project on AWS cloud. We also used Amazon EC2 instance services for deployment of the project.