Kirtan Thummar

Kirtan Thummar

Cloud-Native / DevOps Engineer

Cloud engineer who turns ideas into reliable, low-cost AWS platforms, built 10 production repos, codified EKS clusters, and cut spend 70 % through spot + caching. Three years designing secure, scalable infrastructure, now ready to ship resilient systems that save money and recover in seconds.

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Vision Beyond Reality

About Me

With three years of hands-on cloud experience, I design and operate AWS-native platforms, multi-account organizations, EKS clusters, serverless pipelines 100 % codified in Terraform, averaging ≤ $3 daily cost and cutting AI workloads 70 % via ElastiCache caching; AWS SAA (Nov 2025) and CKAD (Jan 2026), lots of GitHub commits, Go/Python micro-services ≤ 50 ms p99, full-stack Next.js when needed, and observability stacks that recover in seconds.

10
OSS Repos
650+
GitHub Contributions
$3k+
Cloud Spend Saved
2
Certifications

Tech Stack & Expertise

Technologies I work with daily

AWS
Azure
Google Cloud
Docker
Kubernetes
Terraform
Python
Node.js
React
Next.js
TypeScript
MongoDB

What I Do

My areas of expertise

☁️

Cloud Architecture

Multi-account AWS, Well-Architected pillars, infra-cost ≤$5/day. Design scalable, secure infrastructure.

⚙️

DevOps & GitOps

Zero-click pipelines, PR→Prod in <10 min, 100% IaC. ArgoCD, GitHub Actions, Terraform automation.

🔒

Security & Compliance

IAM least-privilege, KMS, Secrets rotation, SCPs, Config rules. Zero security audit findings.

📊

Observability & FinOps

Prometheus, Grafana, real-time cost dashboards, 70% waste cut. Monitor everything, optimize spend.

🚀

Platform Engineering

Reusable TF modules, Helm charts, docs-as-code, developer portals. Build platforms teams love.

🎨

UX Polish

Clean dashboards, dark-mode, 40% faster page loads (SSR + edge). Engineering that feels good.

Featured Work

A curated selection of projects showcasing innovation, design excellence, and technical expertise

Infrastructure & Platform Engineering

eks-argo-gitops

Production-Grade EKS Cluster with GitOps Automation

Enterprise Kubernetes platform featuring Karpenter autoscaling (achieving 60% cost reduction vs standard node groups), ArgoCD for declarative GitOps workflows, and automated bootstrap pipeline completing in under 7 minutes. Implements production-grade patterns including IRSA for pod-level IAM, cluster autoscaling, and infrastructure-as-code best practices. Key Metrics: 60% node cost reduction, <7min deployment time, zero-touch GitOps workflow.

KubernetesAWSTerraformArgoCD
Infrastructure & Platform Engineering

multi-account-aws-org

Enterprise AWS Landing Zone with Security Controls

Multi-account AWS Organization implementing Control Tower best practices, SSO integration, Service Control Policies (SCPs), and automated budget alerts. Architected for compliance and governance, resulting in zero security findings during audit reviews. Foundation for enterprise-scale cloud operations. Key Metrics: 0 security audit findings, multi-account isolation, automated compliance.

AWSTerraformAWS OrganizationsAWS SSO
Infrastructure & Platform Engineering

s3-cloudfront-static-site

High-Performance Static Site Infrastructure Module

Reusable Terraform module delivering globally distributed static sites with CloudFront CDN, automated SSL/TLS, and CI/CD-integrated cache invalidation. Achieves Lighthouse 100% performance scores through optimized caching strategies and edge delivery. Key Metrics: Lighthouse 100/100, <100ms global latency, automated deployments.

AWSTerraformCloudFrontRoute53
Microservices & Backend Engineering

url-shortener-go

High-Performance Go REST API with Observability

Production-ready URL shortening microservice written in Go, achieving sub-50ms p99 latency with 80%+ test coverage. Containerized with multi-stage Docker builds, deployed via Helm charts on Kubernetes. Demonstrates clean architecture, comprehensive testing strategies, and production-grade observability. Key Metrics: ≤50ms p99 latency, 80% test coverage, production-ready monitoring.

GoKubernetesDockerHelm
Microservices & Backend Engineering

resume-parser-api

Cost-Optimized Serverless Document Processing Pipeline

Asynchronous PDF-to-JSON parsing service running on AWS Fargate Spot instances, achieving $0.50/day operational costs during active usage. Implements event-driven architecture with SQS queuing, S3 storage integration, and graceful Spot interruption handling for cost-effective document processing at scale. Key Metrics: $0.50/day active cost, async processing, 90%+ Spot cost savings.

PythonAWSFargateSQS
Microservices & Backend Engineering

latex-resume-generator

Serverless Document Generation Microservice

JSON-driven LaTeX compilation service generating professional PDFs via serverless architecture. Processed 2,000+ unique document downloads, demonstrating scalable serverless patterns for compute-intensive workloads. Features API Gateway integration, Lambda execution, and S3 storage delivery. Key Metrics: 2,000+ downloads, serverless scalability, sub-3s generation time.

PythonAWS LambdaAPI GatewayS3

Let's Connect

Have a project in mind? Let's collaborate and create something amazing together

Email

kirtanthummar.uni@gmail.com

Location

Tempe, AZ • [ Open to relocate ]

Send a Message

Connect With Me

OpenToWork – Cloud & Platform roles • Tempe, AZ • open to relocate