Pragya Laxkar

About Pragya Laxkar

DevOps Engineer with hands-on experience in AWS cloud infrastructure, Kubernetes orchestration, and CI/CD automation. Proven expertise in designing production-grade EKS clusters, provisioning infrastructure using Terraform IaC, and implementing GitOps workflows with Argo CD and GitHub Actions.Currently at Aguken AI, I manage 10+ containerized microservices on AWS EKS for a high-performance AI voice support platform using Kubernetes, Helm, and Istio service mesh. I\'ve automated end-to-end CI/CD pipelines that reduced deployment time from hours to under 10 minutes, provisioned and managed AWS infrastructure (EKS, EC2, VPCs, NAT Gateways, ALB/NLB, Route53) using reusable Terraform modules, and migrated the observability stack to self-hosted SigNoz for unified metrics, traces, and logs.Key Achievements- 70% faster deployments through automated CI/CD pipelines with GitHub Actions and Argo CD (GitOps)- 30% cloud cost reduction by right-sizing EC2/node instances and tuning pod resource requests/limits- 100% service visibility with self-hosted Sentry for real-time error tracking and zero third-party data exposure- Zero-downtime releases by eliminating all manual deployment steps across every production push- 60% reduction in provisioning time using reusable Terraform modules across environmentsTechnical Skills:Cloud & Infrastructure: AWS (EKS, EC2, VPC, ALB/NLB, Route53, S3, DynamoDB, IAM, NAT Gateway, CloudWatch, Lambda)Containers & Orchestration: Docker, Kubernetes (EKS), Helm, Istio (Service Mesh, mTLS, Circuit Breaking), KEDA, HPACI/CD & GitOps: GitHub Actions, Argo CD, Jenkins, GitOps WorkflowsInfrastructure as Code: Terraform, AWS CloudFormationMonitoring & Observability: Prometheus, Grafana, SigNoz, Sentry, Loki, Kiali, AWS CloudWatchNetworking & Security: VPC Design, CNI Networking, WebRTC STUN/TURN, NGINX, Apache, Linux (RHEL, Ubuntu)Languages: Python, Bash/Shell, COpen to connecting with fellow engineers and teams working on cloud-native infrastructure and DevOps challenges.

Experience

1. Devops Engineer

   Aguken Ai

   Jan 2025 — Present · Jaipur, IN

   Managing end-to-end DevOps infrastructure for a hig-performance AI voice support platform at Aguken AI.AWS EKS Infrastructure & Kubernetes Orchestration: Managed 10+ containerized microservices on AWS EKS using Kubernetes, Helm, and Istio service mesh- Implemented HPA and KEDA-based event-driven autoscaling, rolling updates, and zero-downtime deployments- Architected complete VPC design, Kubernetes CNI networking, and Istio configuration (mTLS, traffic policies, circuit breaking)- Configured WebRTC STUN/TURN for real-time media, reducing end-to-end audio latency from 800ms to under 200msCI/CD Pipeline Automation & GitOps- Automated end-to-end CI/CD pipelines using GitHub Actions and Argo CD (GitOps), reducing deployment time from hours to under 10 minutes- Eliminated release-related incidents by removing all manual deployment steps; achieved zero-downtime releases on every production push- Provisioned and managed AWS infrastructure (EKS, EC2, VPCs, NAT Gateways, ALB/NLB, oute53) using reusable Terraform modules, reducing provisioning time by 60%Full-Stack Observability & Cost Optimization- Migrated observability stack from Prometheus/Grafana to self-hosted SigNoz for unified metrics, traces, and logs- Deployed self-hosted Sentry for real-time error tracking, achieving 100% service visibility with zero third-party data exposure- Optimized AWS compute costs by right-sizing EC2/node instances and tuning pod resource requests/limits — achieving ~30% reduction in monthly spend

Education

• Poornima University

  Bachelor of Technology - BTech, Computer Science Engineering