• Implemented CI/CD pipelines using Jenkins, seamlessly integrating AWS services.• Built and managed Docker images, utilizing Amazon ECR as a repository, and orchestrated deployments with Helm charts in Kubernetes.• Parameterized Jenkins jobs for enhanced configurability and demonstrated proficiency with various Kubernetes components.• Implemented ingress methodology for traffic management and leveraged Kiali, Prometheus, and Grafana for visualization.• Achieved proficiency in Blue-Green deployments and integrated Istio Service Mesh for a robust microservices architecture.• Installed Elasticsearch and Kibana for comprehensive logging and monitoring.• Created and managed AWS services using Terraform, including VPC, subnets, EC2 instances, and associated security groups.• Established Internet and NAT gateways for optimized network routing and configured AWS Core Services (EC2, Lambda, RDS, DynamoDB, S3, EBS, EFS, VPC, ELB, IAM).• Provisioned and orchestrated CI/CD workflows with GitHub Actions and managed user access through IAM.Designed load-balanced, highly available, and scalable architectures.• Implemented declarative tool installation and Git checkout procedures, managed Maven for compilation and testing, and conducted SonarQube analysis for code quality.• Utilized Aqua Trivy for vulnerability scanning, orchestrated artifact deployment to Nexus, and conducted Docker image scans before publishing to Docker Hub.• Provisioned AWS EKS clusters and VMs with Terraform, ensuring infrastructure automation and consistency, and deployed applications to Kubernetes with kubeaudit security scans.• Set up Gmail notifications and Grafana for monitoring and alerting.

• Completed more than 60days intensive training program in Application Development at IBM .• Demonstrated ability to adapt quickly and learn new technologies within a short timeframe.

• Demonstrated expertise in creating interactive Dashboard in Power BI , including the reflection of key performance indicators (KPIs) and metrics.• Adept at communicating data insights and making recommendations effectively.• Demonstrated ability to conduct root cause analysis and identify solutions to address performance issues.

• Designed and developed a custom chatbot using PyTorch and NLTK, trained to respond to user queries with accuracy of 85%. • Built a flask web application to deploy the chatbot handling user input and generating responses in real time.• Implemented a JavaScript-powered chat window with animations, enabling users to interact with the chatbot seamlessly. • Successfully integrated the chatbot with a website, providing a conversational interface for users to engage with.