Devansh Patni

• Deployed applications using AWS services (S3, EKS, EC2, ECR, CloudWatch, Elastic Load Balancer) with Ansible for provisioning,
Dockerized apps, and Jenkins CI/CD pipelines supported by Python automation.
• Improved customer experience (ratings from 3 to 4.3 stars), reduced load time by 50%, cut server costs by 20%, and enhanced
observability with Jaeger tracing.
Leading FMCG Food Manufacturing Company in
• Conducted Cloud Security and DevOps audit of the clients infrastructure, reviewing Terraform configurations and CI/CD YAML
pipelines, uncovering ~15 misconfigurations and automation gaps impacting scalability and compliance.
• Audited GitHub Actions and ArgoCD workflows, identifying ~10 high-risk issues such as weak secrets management and insufficient
rollback strategies, recommending fixes that reduced potential exposure.
Fintech Product Startup
• Created and hardened there terraform scripts for GKE deployment. Did Security review and implementation for their GitHub Actions
Pipelines. Thus, decreasing their deployment time on their infrastructure from 30 min in manual deployment to 14 minutes with
CICD.
• Put up several logging and security SAST and DAST tools like - Depandabot, Trivy, Loki, Grafana, SonarQube, Datadog.
Investment Firm
• Set-up Security tools- SonarQube and Trivy in the Jekins Pipeline for continuous scanning while building, conducted VAPT for Web
applications, and Azure cloud services.
• Automated the scanning and security approach that Identified and rectified multiple vulnerabilities across 20+ Web applications and
30+ cloud services.

• Developed end-to-end cloud infrastructure using Docker on Azure Kubernetes Service and Configured Azure services including Key
Vaults, Application Gateway, SQL Database, and App Services with Azure CI/CD Pipeline and Terraform for automated
infrastructure management.
• Reduced downtime by 40% with an automated deployment strategy and with monitoring services with Prometheus and Grafana
dashboard.
PSU Bank
• Conducted VAPT, Security gap audits, and Docker image scanning including Dockerfile and network scanning on Kubernetes
infrastructure.
• Identified vulnerabilities such as Pod Breakouts, Credentials Leakage, Excessive Privileged Pods, and lack of Security Policies. Company
• Migrated on-prem website deployment to Azure AKS and automated migration scripts using Terraform.
• Created Dockerfile for Machine Learning model hosting in Kubernetes and optimized GPU usage for Kubernetes node-pool
• Improved application start-up time from 15 min to 5 min and achieved 15-20% cost savings by optimizing cloud resources.

Pharmaceutical Company
• Developed end-to-end cloud infrastructure using Docker on Azure Kubernetes Service.
• Configured Azure services including Key Vaults, Application Gateway, SQL Database, and App Services.
• Set up Azure CI/CD Pipeline and Terraform for automated infrastructure management.
• Reduced downtime by 40% with an automated deployment strategy and with monitoring services with Prometheus and
Grafana dashboard.
PSU Bank
• Set AWS Cloud services like- S3, EKS, CloudWatch alarms and triggers, EC2, ECR, Elastic Load Balancer for application
deployment.
• Created dockerfile for the front end and backend applications and pushed them on Amazon EKS for automated deployment
using Jenkins CI/CD. pipelines.
• Used Python scripting for handling automation related and application specific tasks.
• Enhanced the customer experience (Rating increased from 3 to 4.3 star) and application loading time by more than 50% and
also reducing the servers’ cost by 20%.
E-Commerce Company
• Migrated on-prem website deployment to Azure AKS and automated migration scripts using Terraform.
• Created Dockerfile for Machine Learning model hosting in Kubernetes and optimized GPU usage for Kubernetes node-pool.
• Improved application start-up time from 15 min to 5 min and achieved 15-20% cost savings by optimizing cloud resources