Raghvendra Singh

Architected and maintained CI/CD pipelines using Azure DevOps. Designed and managed robust CI/CD workflows for .NET, Python, Drupal, and Next.js applications using Azure DevOps pipelines. Automated build, test, containerization, security scans (SonarQube), and multi-stage deployments with rollback mechanisms. Managed Azure Kubernetes Service (AKS) clusters. Deployed and managed scalable workloads on AKS using Helm charts. Configured services like Ingress, Horizontal Pod Autoscaling (HPA), readiness/liveness probes, and created scheduled CronJobs for data sync and batch processes. Ensured zero-downtime deployments with readiness checks and rolling upgrades. Implemented Infrastructure as Code (IaC) using Terraform. Used Terraform to automate provisioning of Azure infrastructure including virtual machines, VNet, subnets, network security groups, AKS clusters, Key Vault, and managed identities. Handled state remotely and structured modules for reusable, environment-specific deployments (DEV, UAT, PROD). Full Setup of Azure AD and Azure AD B2C. Handled containerization with Docker. Created optimized Dockerfiles for .NET and Python applications, including use of custom base images and multi-stage builds. Managed private image repositories in Azure Container Registry (ACR) and ensured image security and versioning best practices. Monitored infrastructure and application health using Datadog. Set up Datadog dashboards and alerts for key performance metrics (CPU, memory, disk I/O) and service-level monitoring using Kubernetes tags (team, env, service). Integrated container logs using Fluent Bit and used custom annotations to troubleshoot application behavior in production. Maintained secure and reliable DevOps environments. Enforced security across pipelines, clusters, and resources. Configured Azure Key Vault with CSI driver integration in AKS, enabled firewall rules and access policies. Managed VPN access using Pritunl for secure internal-only API access and restricted SSH/portal usage with NSGs and bastion hosts. Led troubleshooting and optimization efforts. Investigated and resolved complex production issues including memory/CPU bottlenecks, pod crash loops, slow image uploads, and Helm upgrade timeouts. Optimized readiness/liveness probes, horizontal scaling policies, and backend connectivity to improve system performance. Owned end-to-end DevOps responsibilities in a hands-on role. Solely managed all aspects of DevOps for multiple projects across different environments. Served as the central point of contact for developers and QA teams. Delivered reliable deployments, proactive monitoring, and rapid issue resolution, enabling faster release cycles and high availability.

Infrastructure setup and automation using Terraform for Azure, AKS, Firewall Application Gateway. Deployed Kubernetes Clusters on cloud environments, wrote many YAML files to create many services like pods, deployments, namespace, Replica, Ingress, Services, load balancers, labels, health checks etc. Worked on AGIC and Ngnix ingress controller. Troubleshot Kubernetes deployment related issues on a daily basis. CI/CD Pipeline setup using Azure DevOps and Github Actions. Managed AKS deployment using YAML and HELM in different namespaces. Automated Images pushing in ACR using Azure pipeline. Monitored resources using New Relic, Prometheus, Datadog. HIPAA Compliant Infrastructure setup. Continuous Integration and Deployment pipeline for multiple micro services deployed on AKS. Deployed a project called Titan using Terraform from scratch, including Azure databricks, Azure datafactory, Function app, Logic App, Storage account, KeyVault, Azure databricks connector and role assignment. Managed Databricks cluster, catalog, RBAC, jobs, deployment using CI/CD. DR implementation of Azure databricks and Azure datafactory. Managed Datafactory and its pipeline. Automated deployment using CI/CD in rest environment. Deployed Proxy using HELM on Kubernetes cluster for SQL server. Continuous Deployment Azure IaaS/PaaS services like compute Azure Virtual Machines, Application Gateway, Web app & Function app, VNET, Network services, Azure DevOps, Azure active directory, SQL Databases, Storages, Azure Active Directory, Monitoring, Autoscaling, PowerShell Automation, Azure Search, DNS, Event Hub, Azure Bus, Azure Backups. Alerting using Azure monitor and Ops Genie.

Designed and deployed Azure IaaS/PaaS resources, configured VNets, subnets, NSGs, UDRs, Azure Firewall, and Application Gateway. Hands-on experience with Azure VMs, App Services, Storage, SQL DB, Azure AD, Functions, Service Bus, Event Hub, Event Grid, and Notification Hub. Implemented internal/external load balancers, virtual appliances, and ExpressRoute with BGP for secure, high-availability setups. Built CI/CD pipelines using Azure DevOps, Git, and Kubernetes; deployed and managed containerized apps with Docker and Helm. Created and managed Azure resources using ARM templates and Terraform for repeatable, versioned deployments. Integrated Azure Databricks with Azure AD for SCIM provisioning and access control. Utilized Azure Monitor, Log Analytics, Network Watcher, and Service Health for real-time monitoring and diagnostics. Experience with Azure Site Recovery and Azure Backup for disaster recovery and business continuity. Used PowerShell, Git hooks, and JSON templates for resource automation and deployment. Worked with ServiceNow for incident and change management in enterprise environments. Created and managed VPCs, EC2 instances, Security Groups, Elastic Load Balancers (ELB), and Auto Scaling Groups with defined policies. Configured CloudWatch Alarms for EC2, ELB, and Auto Scaling integration; deployed infrastructure using CloudFormation templates. Set up Amazon RDS with snapshot policies and worked with AWS S3 buckets for object storage and CloudFront for content delivery. Managed users and roles with AWS IAM, updated SSL certificates via IAM and ACM, and configured Amazon Cognito for app identity management. Worked on AWS Lambda, API Gateway, and Elastic Beanstalk for deploying and managing scalable, serverless applications.

Project on machine learning in 3rd year internship: Ensemble learning and techniques, focusing on ADABOOSTING with DNN and Support Vector Machine.