
AWS Cloud & DevOps Engineer with 3+ years of experience designing, deploying, and automating scalable cloud infrastructure. Strong hands-on expertise in AWS, Terraform, Kubernetes, CI/CD, and cloud security. Proven ability to support ML workflows, optimize compute/storage costs, and build highly available architectures. Adept at collaborating with cross-functional teams to accelerate model deployment, data processing, and cloud-native application delivery.
• Designed AWS cloud infrastructure using Terraform
Situation: Multiple client apps required secure, scalable infra.
Action → Architected VPCs, subnets, EC2, S3, RDS, IAM, CloudWatch using Terraform modules.
Result → Reduced provisioning time by 60% and improved infra consistency across environments.
• Automated CI/CD pipelines with integrated SQL & ETL validations
Situation: Data-quality issues were delaying releases.
Action → Embedded automated SQL checks, ETL validation, and test stages into Azure DevOps pipelines.
Result → Improved data accuracy by 40% and reduced manual testing effort by 70%.
• Implemented Route 53 failover for high availability & DR
Situation: Client workloads needed resilient DR mechanisms.
Action → Configured health checks, failover routing policies, and multi-region failback automation.
Result → Achieved near-zero downtime during DR drills and strengthened compliance posture.
• Optimized performance & cost of compute and storage workloads
Action → Tuned EC2 sizing, EBS throughput, S3 lifecycle rules, and auto-scaling strategies.
Result → Delivered ~25% cost optimization across cloud environments.
• Supported Kubernetes & containerized deployments
Action → Deployed microservices on Kubernetes/EKS, implemented Helm-based rollouts, and containerized apps using Docker.
Result → Improved deployment cycle time by 50% and reduced production issues.
Cloud & DevOps: AWS (EC2, VPC, S3, RDS, IAM, CloudWatch), Azure, Linux, Terraform, Ansible, Kubernetes (EKS), Docker, CI/CD, GitHub Actions, Jenkins, Azure DevOps
AI/ML Infrastructure: SageMaker (basic), EC2 GPU infra setup, ML pipeline automation, model deployment support
Healthcare Data & Security: HIPAA fundamentals, compliance-driven monitoring, DR & failover setups
Programming & Scripting: Python, Bash, SQL, Java
Monitoring & Observability: CloudWatch, Prometheus, Grafana
Other Tools: ETL validation frameworks, Route 53, EFS/EBS, Auto Scaling, Artifactory, Git
Project : GPSNavi / MyIoTGlobe / MyTrakx
Project : HMWSSB Cloud Modernization
Java Programming – Great Learning (2023)
Python Programming – Udemy (2022)
NCC 'C' Certificate – National Cadet Corps