DevOps Portfolio
v4.0.2-stable
Performance Summary

Architecture of Scale.

Designing resilient distributed systems and automating the path from code to production. Focused on reliability, security, and cloud-native excellence.

school

Education

B.Tech Computer Science

GPA: 8.67/10

Computer Science and Engineering

Vellore Institute of Technology, 2023

High School

GPA: 9.18/10

Computer Science

Sachdeva Public School, 2019

work

Experience

Platform Engineer

Jan 2024 - Jan 2026

Amazon

Improved deployment speed, reliability, and incident response across large-scale AWS-based microservices systems.

  • Designed and implemented CI/CD pipelines for a microservices architecture using Infrastructure-as-Code principles, reducing deployment time by 30% and improving release reliability across production environments.
  • Tracked sprint deliverables via Jira within an Agile/Scrum framework, applying shift-left principles to surface infrastructure and reliability risks early in the SDLC.
  • Drove resolution of 50+ production incidents through structured root cause analysis and systematic troubleshooting improving overall system stability.
  • Engineered serverless monitoring and incident triage automation leveraging AWS Lambda, CloudWatch & API gateway, reducing Mean Time to Resolution (MTTR) by 40% & enabling proactive incident response.
  • Authored and maintained operational runbooks as part of an Operational Excellence initiative, adopted team-wide to improve on-call ramp-up speed by 25% and improve response consistency.
  • Assisted in monitoring and troubleshooting rolling deployments on Amazon EKS, tracking pod lifecycle events, analyzing container logs via kubectl supporting zero-downtime release execution.
  • Monitored product health metrics using Kibana dashboards, tracking log patterns, error rates, and system anomalies to support proactive issue identification.
  • Collaborated with cross-functional teams (developers, QA, stakeholders) both offshore and onshore in code reviews and design discussions, ensuring alignment on reliability standards & release readiness.

Platform Engineer Intern

Jan 2023 - Jun 2023

Amazon

  • Extended a cloud-based automation framework on AWS, expanding automated coverage to 100+ deployment validation scenarios and increasing confidence in production releases.
  • Diagnosed and resolved release-blocking automation failures, restoring deployment stability & eliminating critical bottlenecks across production environments.
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Projects

Scalable Knowledge-Driven RAG API

Tech Stack: Python, FastAPI, Git/Github, VectorDB(ChromaDB), Ollama(LLM), Docker, Kubernetes, GitHub Actions

  • Designed & deployed a containerized RAG API with Kubernetes orchestration, enabling scalable service deployments.
  • Implemented health checks, auto-recovery, & replica management, improving system reliability.
  • Created CI/CD pipelines for container build, testing, & deployment validation using GitHub Actions.

End-to-End DevOps Automation on AWS

Tech Stack: Jenkins, AWS EC2, AWS IAM, AWS EKS, Terraform, Bash, Uptime Kuma, Kubernetes, Git/Github

  • Deployed containerized app on AWS EKS using Docker, Kubernetes & Terraform, with automated CI/CD pipeline via Jenkins & GitHub Webhooks for zero-touch deployments.
  • Provisioned AWS infrastructure (EC2, IAM, EKS) using Terraform IaC, automated Docker builds & Kubernetes rolling deployments via Jenkins Declarative Pipeline with Uptime Kuma monitoring.

React App Deployment with Automated CI/CD Pipeline

Tech Stack: Docker, Docker Compose, Bash, Jenkins, AWS EC2, AWS IAM, Uptime Kuma, Git/Github

  • Containerized & deployed a React application on AWS EC2 using Docker, Nginx, & Docker Compose, with CI/CD automation via Jenkins & GitHub Webhooks with secure AWS networking.
  • Implemented GitOps-based multi-branch deployment (dev → public, prod → private), automated Bash deployments & real-time monitoring with downtime alerting using Uptime Kuma.