SWETHA THILLAINATHAN
tiruchirappalli
Overview
2
2
years of professional experience
1
1
Certification
Work History
GENAI WEB APPLICATION- DEVOPS & STREAMLIT
CAPGEMINI
12.2023 - 02.2025
- Developed and deployed a role-based AI web application to support healthcare document analysis, code reviews, image generation, and image analysis.
- Build an end-to-end CI/CD pipeline using Azure DevOps. The pipeline was written in YAML and triggered by commits to the production branch. It automatically handled dependency installation, packaged the source code, and deployed the Streamlit application to Azure Web App for Linux. Environment configurations and resource connections were managed within the pipeline to ensure smooth, repeatable deployments.
- Integrated GitHub version control and enabled a smooth code to deployment workflow using Azure DevOps.
INTERNSHIP
CAPGEMINI
02.2023 - 05.2023
- Completed hands-on training in software and device testing at GE healthcare. Worked on test case execution, bug reporting and validation process.
Education
Masters - biomedical engineering
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
CHENNAI06-2023
Bachelors - biomedical engineering
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
CHENNAI06-2021
Skills
- Programming language: Bash (shell scripting), Python
- Cloud platform: AWS, Azure
- Containerization and orchestration: Docker, Kubernetes
- Infrastructure as code (IaC): Terraform, AWS CloudFormation
- Configuration management: Ansible, Puppet
- Operating system: Linux (Ubuntu, Amazon Linux), Windows
- Version control and workflow: Git
- CI/CD tools: Jenkins, GitHub Actions, Argo CD
- Security: SonarQube (SAST)
Certification
AWS CERTIFIED CLOUD PRACTITIONER 2025
Projects
End-to-end CI/CD pipeline implementation - Jenkins
Implemented an end-to-end CI/CD pipeline for a Java-based application using a Jenkins declarative pipeline, configured pipeline stages, including Maven build, unit testing, static code analysis, SAST using SonarQube, and Docker image creation, and deployed the final build to a Kubernetes cluster using ArgoCD for automated delivery
Implemented three-tier architecture on AWS
Implemented a three-tier architecture that is highly available and highly scalable using Terraform, and deployed the application on an EC2 instance using a user data script
AWS components involved (VPC, ASG, Route 53, CDN, ELB, EC2, S3, NAT, API Gateway)
Configuration management - Ansible
Managed the configuration of multiple Linux and Windows instances using Ansible
Cloud cost optimization - AWS
Used the combination of AWS CloudWatch and Lambda functions to decrease the cloud cost by 25 percent
Created a Lambda function in Python that used the Boto3 module to interact with AWS service APIs, and this Lambda function is triggered by CloudWatch events this lambda function would watch for any unused EBS snapshots and either delete them or sends notification to the owner
Timeline
GENAI WEB APPLICATION- DEVOPS & STREAMLIT
CAPGEMINI
12.2023 - 02.2025
INTERNSHIP
CAPGEMINI
02.2023 - 05.2023
Masters - biomedical engineering
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
Bachelors - biomedical engineering
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
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