

Senior AI & DevOps Engineer with 15+ years of experience in DevOps, cloud automation, and AI/ML model deployment. Skilled in EKS cluster management, Kubernetes orchestration, and multi-cloud AI inference workloads (AWS, Azure, GKE - moderate). Experienced in CI/CD automation (Jenkins, GitLab CI, Azure DevOps), Infrastructure as Code (Terraform, Ansible), and SRE best practices to enhance scalability, reliability, and security. Proficient in monitoring & logging (Prometheus, ELK, CloudWatch) and optimizing cloud infrastructure performance. Delivered projects in fintech, healthcare, and AI, including migrating workloads to Kubernetes, serverless microservices, and cloud security solutions. Passionate about mentoring teams, automating infrastructure, and driving DevOps adoption.
Cloud & Infrastructure
Cloud Platforms: AWS (Expert), Azure (Moderate), GCP (Moderate), OCI (Familiar)
Containerization & Orchestration: Kubernetes (EKS, GKE, OpenShift), Docker, AWS ECS, Google Cloud Run
Infrastructure as Code (IaC) & Automation: Terraform, Ansible, Puppet
CI/CD & Release Management: Jenkins, GitLab CI, Azure DevOps, Tekton, AWS CodePipeline, Github Actions
Monitoring & Security
Monitoring & Logging: Prometheus, Grafana, ELK, CloudWatch, DataDog
Security & Compliance: SonarQube, Veracode, Black Duck
Databases: PostgreSQL, MySQL, DynamoDB, Oracle
Collaboration & DevOps Tools
Source Control: GitHub, GitLab
Project Management: JIRA, Azure Boards, GitHub Project Board
Web & Application Servers: Nginx, Apache, Tomcat
Business Intelligence Tools
AWS Quicksight
Accolade Appreciation: Received Pinnacle Award for successfully driving the team to architect, build and deploy the EKS clusters and deploy the applications for DigitalRisk project