Sep 2024 – Jun 2025 · 9 mos · Dehradun, Uttarakhand, India · On-site

Sep 2023 – Aug 2024 · 11 mos · Saket, Delhi, India · On-site

• (Layoff - Due to no funding & investors)
• 1) Successfully managed a high-stakes 10 crore contest with 1 million users in production, ensuring seamless user experience and high system reliability.
• 2) Spearheaded AWS security initiatives that fortified the cloud environment, resulting in quantifiable results, e.g., a reduction in security incidents by 95% or achieving compliance with specific standards.
• 3) Optimized AWS RDS performance by 75% through strategic instance management and robust backup implementation, ensuring high availability and minimal downtime.
• 4) Implemented stringent access controls and encryption on AWS S3 to safeguard sensitive data, mitigating risks of data breaches and unauthorized access.
• 5) Established secure remote access infrastructure using OpenVPN, enhancing collaboration and productivity while protecting sensitive data.
• 6) Engineered a proactive monitoring framework with New Relic, Prometheus & Grafana reducing incident resolution time of system failures.
• 7) Led a seamless cloud migration from AWS to GCP, optimizing for scalability and performance, resulting in cost savings & performance improvement.
• 8) Accelerated deployment cycles by establishing efficient CI/CD pipelines with Bitbucket Pipeline, and ArgoCD, reducing deployment time to only 30 seconds.
• 9) Implemented robust container orchestration with GKE, Amazon EKS and ECS, deploying scalable PHP and Node.js applications, and optimizing performance with Nginx & ALB.

Nov 2022 – Aug 2023 · 9 mos · Gurugram, Haryana, India · Remote

• (Layoff - Due to Budget Issues)
• 1) Leveraged GKE, GitOps, Terraform, GitHub, and ArgoCD to architect and deploy highly available, scalable cloud-native applications on GCP, resulting in quantifiable improvement, reduction in deployment time & increase in application uptime.
• 2) Implemented GitOps workflows to accelerate software delivery, reduce deployment errors, and enhance overall system reliability through automated testing, CI/CD, and version control.
• 3) Employed Terraform to automate infrastructure provisioning and configuration, achieving faster provisioning & reduction in infrastructure costs.
• 4) Collaborated effectively within GitHub to streamline code reviews, improve code quality, and foster a culture of continuous improvement through robust CI/CD integration.
• 5) Utilized ArgoCD to implement GitOps principles, enabling declarative application management, reducing deployment failures, and improving application stability.

Apr 2022 – Jul 2022 · 3 mos · Chicago, Illinois, United States · Remote

• 👉 Worked on DevOps tools like Jenkins, Ansible Tower, Terraform, Bitbucket
• 👉 Worked on AWS services in dev, prod, non-prod and staging environment.
• 👉 Worked on AWS Services like VPC, S3, IAM, ECS, ECR, EKS
• 👉 Updated various Terraform files to their latest versions and made various changes in Jenkinsfile as well.

May 2021 – Aug 2021 · 3 mos

• 🔰 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 🔰
• ✒ Solving Technical & Management queries of the learners .
• ✒ Helping & Troubleshooting the problems faced by learners .
• ✒ Learning Emerging Technologies for future Revolutions

Mar 2021 – Jul 2021 · 4 mos

• I had successfully attended & implemented the concepts taught in various workshops on 👇
• 👉 Artificial Intelligence on AWS Cloud
• 👉 Git & GitHub - Best SCM Tool
• 👉 Javascript
• 👉 Microsoft Azure
• 👉 MongoDB
• 👉 Bash She'll Scripting
• 👉 Dynamic Programming
• 👉 Salesforce

Mar 2021 – Jun 2021 · 3 mos

• I had been the student ambassador for various programs under LW, which tells about my interactive nature and communication skills where I got to learn and experience much from various college students. Programs I had been the ambassador for are 👇
• 👉 Summer Internship 2021
• 👉 Terraform Program
• 👉 Jenkins Program
• 👉 Azure Workshop
• 👉 JS Workshop

Jan 2021 – May 2021 · 4 mos

• I had interacted with various industry experts who made me aware about the latest use cases and case studies. Also, they taught me the practical demonstrations on various topics like 👇
• 👉 Cloud & DevOps
• 👉 Ansible
• 👉 Kubernetes
• 👉 Openshift

Apr 2021 – May 2021 · 1 mo

• I understand how Industry works with Jenkins here with lots of practicals. I learned about
• ☑ Overview of Jenkins UI
• ☑ Continuous Integration with Jenkins
• ☑ Plugins
• ☑ Advanced Build Jobs features and Security
• ☑ Arrangement of Nodes and Master-Slave
• ☑ Deploying Application to Web Server and Continuous Delivery
• ☑ Jenkins Job DSL
• ☑ Infrastructure as code and Automation

Jan 2021 – Apr 2021 · 3 mos

• ⭐ Understanding Kubernetes Architecture
• ⭐ Introduction to Kubernetes
• ⭐ Managing the Kubernetes Cluster
• ⭐ Working with Namespaces and Pods
• ⭐ Scheduling Pods
• ⭐ Application Lifecycle Management
• ⭐ Logging and Monitoring
• ⭐ Application Lifecycle Management
• ⭐ Cluster Maintenance
• ⭐ Security and Authentication
• ⭐ Managing Data in the Kubernetes Cluster
• ⭐ Storage and Volumes
• ⭐ DNS Networking, CoreDNS, and CNI
• ⭐ Troubleshooting: Application Failures, Control Panel Failures, and Network Failures
• ⭐ Kubernetes Scheduling
• ⭐ Troubleshooting in Kubernetes

Oct 2020 – Dec 2020 · 2 mos

• Configuration Management tool helps to automate the things in Industry. I also read how the industry uses this type of tool in their use-cases
• I learned about
• ⚡ Introduction to Ansible
• ⚡ Deploy Ansible
• ⚡ Implement playbooks
• ⚡ Manage variables and facts
• ⚡ Implement task control
• ⚡ Deploy files to managed hosts
• ⚡ Simplify playbooks with roles
• ⚡ Troubleshoot Ansible
• ⚡ Automate Linux administration tasks

Sep 2020 – Sep 2022 · 2 yrs

Aug 2020 – Jun 2021 · 10 mos

• In this training have learned about
• ✔ Storage - EFS, EBS, S3
• ✔ Compute - EC2
• ✔ Security - IAM, Roles, Policies, RAM, KMS, Secret Manager
• ✔ Network - Route 53, VPC, Global Accelerator, Elastic Beanstalk
• ✔ Stream - SQS, SNS
• ✔ Serverless - Lambda, ECS
• ✔ AWS Monitoring - CloudTrail, CloudWatch
• ✔ Designing Highly Available, Cost-efficient
• ✔ High Availability and Scalability: ELB & ASG
• ✔ Identity and Access Management (IAM) - Advanced
• ✔ AWS Security & Encryption: KMS

Mar 2021 – Oct 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India · Remote

• Streamlined build, test, and deployment processes by implementing end-to-end CI/CD pipelines using Azure DevOps, enhancing development efficiency and reducing deployment times.
• Automated Azure resource provisioning and management with Terraform, ensuring consistent and secure infrastructure deployments across various environments.
• Deployed and managed Azure PaaS solutions, automating application deployments to achieve high availability and scalability in cloud environments.
• Enhanced DevOps processes through Bash, PowerShell, and Python scripting, and implemented monitoring and change management tools like AppDynamics, OpsRamp, and ServiceNow to ensure performance and compliance.

Jan 2021 – Mar 2021 · 2 mos · New York, United States · Remote

• 👉Orchestrated the deployment of a Machine Learning (ML) platform on AWS Cloud.
• 👉Implemented containerization of ML models from scratch using Docker and Kubernetes.
• 👉Established a comprehensive Continuous Integration and Continuous Deployment (CI/CD) pipeline on AWS.
• 👉Ensured scalability, high availability, and cost optimization of the ML platform.

Dec 2020 – Jun 2021 · 6 mos

• OpenShift is a family of containerization software products developed by Red Hat. It's official DO180 training under Red Hat. Here, I learned about
• ✳ Container, Docker, and OpenShift architecture
• ✳ Create containerized services
• ✳ Manage containers and container Images
• ✳ Create custom container images
• ✳ Deploy containerized applications on Red Hat OpenShift
• ✳ Deploy multi-container applications
• It's an official Ex199 Program. I learned a lot about RHEL8 here.
• ◆ Access the command line
• ◆ Create, view, and edit text files
• ◆ Manage local Linux users and groups
• ◆ Control access to files with Linux file system permissions
• ◆ Monitor and manage Linux processes
• ◆ Control services and daemons
• ◆ Manage Red Hat Enterprise Linux networking
• ◆ Install, update and configure software packages
• ◆ Analyze and store logs