AWS, Terraform, Kubernetes, CI/CD automation, observability, and production-style cloud delivery workflows.
Open to DevOps and Cloud Engineering opportunities
AWS β’ Terraform β’ Kubernetes β’ Observability
I Build Reliable Cloud Infrastructure and Production-Ready DevOps Systems on AWS
Hands-on DevOps and Cloud Engineer building AWS infrastructure, Kubernetes delivery workflows, CI/CD automation, and observability with a production-minded focus on reliability and operational clarity.
Hands-on engineering work that moves from version control to live cloud deployment through repeatable infrastructure, deployment automation, and operational discipline.
Built monitoring and alerting workflows with Prometheus, Grafana, Alertmanager, Blackbox Exporter, and Slack notifications for operational visibility.
What I Deliver
I focus on the operational work that helps teams ship reliably and scale with confidence.
- Design and deploy scalable AWS infrastructure using Terraform
- Build automated CI/CD pipelines for fast and reliable deployments
- Containerize and orchestrate applications using Docker and Kubernetes
- Integrate container security scanning into CI/CD workflows using Trivy
About Me
I design and automate cloud delivery systems that help teams release reliably, reduce manual work, and operate with confidence.
My hands-on work centers on AWS infrastructure engineering, Terraform-based infrastructure automation, Kubernetes delivery workflows, and CI/CD pipelines that move services from source control to stable deployment. I focus on building repeatable systems that reduce operational friction, improve release confidence, and make change safer over time.
Across portfolio and monitoring projects, I combine cloud delivery, observability, and reliability practices through production-style dashboards, alerting workflows, uptime monitoring, and infrastructure automation. I am looking for DevOps, cloud, and platform engineering roles where I can strengthen infrastructure, improve deployment workflows, and support operationally reliable systems at scale.
Core Skills
A practical toolset shaped by hands-on cloud, platform, and delivery projects.
Cloud & Infrastructure
Containers & Orchestration
CI/CD & Automation
Infrastructure as Code
Platform & Delivery
Security & DevSecOps
Monitoring & Observability
Systems & Scripting
Featured Projects
Selected hands-on projects that demonstrate cloud automation, delivery engineering, security thinking, and production-style architecture.
π Production-Ready Kubernetes CI/CD Platform
Engineered a Kubernetes CI/CD platform with Docker, GitHub Actions, and Trivy to automate container build, security scanning, and deployment workflows for safer, repeatable releases across environments.
Key Results
- Automated build, scan, and deployment stages, reducing manual release effort by ~70%
- Integrated Trivy image scanning to block vulnerable container images before cluster deployment
- Standardized Kubernetes rollout steps in version-controlled workflows to improve release consistency and rollback readiness
π°οΈ Production-Grade Observability & Uptime Monitoring Platform
Built a production-grade observability and uptime monitoring platform with Node.js, PostgreSQL, Prometheus, Grafana, Alertmanager, and Slack to deliver self-service monitoring workflows, real-time alerting, and standardized operational visibility.
Key Results
- Engineered a self-service onboarding workflow that reduced manual monitoring setup effort by ~80% for new targets
- Containerized the full monitoring stack with Docker Compose to standardize deployment across the API, database, Prometheus, Grafana, and Alertmanager
- Implemented uptime, latency, and health alerting with Prometheus, Alertmanager, and Slack, enabling issue detection in about 1 minute
- Centralized operational visibility through PostgreSQL-backed monitoring data and Grafana dashboards for uptime, response time, and failed-check trends
π‘ Production-Style DevOps Portfolio Platform
Built a production-style DevOps portfolio platform on AWS with Terraform, GitHub Actions, CloudFront, ACM, and a custom domain, then added end-to-end monitoring and alerting with Prometheus, Grafana, Alertmanager, Blackbox Exporter, and Slack.
Key Results
- Automated deployments from GitHub to AWS, reducing manual release effort by ~70% and improving delivery consistency
- Provisioned HTTPS, CDN delivery, and domain routing as code with Terraform, CloudFront, ACM, and Namecheap
- Implemented dashboards, website probes, and Slack alerting, enabling issue detection and notification in about 1 minute
- Centralized delivery, observability, and documentation in one repository to improve visibility across uptime, latency, CPU, and memory metrics
βοΈ Containerized Web App Deployment on AWS ECS with Terraform
Provisioned a repeatable AWS ECS deployment stack with Terraform, ECR, and Fargate to deliver containerized workloads without managing servers and to simplify cloud application releases.
Key Results
- Provisioned networking, registry, and compute as code, reducing environment setup time by ~60%
- Published Docker images to Amazon ECR to standardize container packaging and deployment flow
- Deployed services on ECS Fargate without managing servers, improving scaling simplicity and operational efficiency
π Scalable WordPress Deployment on AWS with Terraform
Designed a production-style WordPress platform on AWS with Terraform, combining load balancing, auto scaling, shared storage, and managed database services to support resilient, scalable application delivery.
Key Results
- Provisioned ALB, Auto Scaling, EFS, and RDS into one highly available architecture for stronger fault tolerance
- Automated environment build with Terraform, reducing rebuild time by ~65% and improving repeatability
- Segmented networking with public and private subnets to strengthen security and operational separation
π§© Kubernetes Configuration Management with Kustomize & GitHub Actions
Managed Kubernetes manifests with Kustomize overlays and GitHub Actions to support environment-specific, version-controlled Kubernetes delivery workflows with cleaner configuration control and reduced drift across clusters.
Key Results
- Automated manifest rollouts from GitHub, reducing manual deployment steps by ~60%
- Separated dev, staging, and production configuration cleanly with Kustomize overlays
- Improved release consistency and reduced configuration drift across environments
π CI/CD Pipeline with Jenkins, Helm & Amazon EKS
Built a Jenkins-driven CI/CD workflow for applications deployed to Amazon EKS with Helm, combining pipeline automation, packaged releases, and repeatable Kubernetes deployment workflows.
Key Results
- Automated build and release stages with Jenkins and Helm, reducing deployment time by ~55%
- Packaged Kubernetes releases as Helm charts to simplify upgrades, rollback workflows, and version control
- Deployed workloads to Amazon EKS through a consistent, repeatable pipeline
π MarketPeak E-Commerce Deployment on AWS
Deployed an e-commerce application on AWS EC2 and managed the environment through Linux-based operational workflows to support reliable application hosting and hands-on cloud administration.
Key Results
- Provisioned and configured an EC2-hosted application environment for reliable web delivery
- Executed Linux-based deployment and service management tasks, improving operational efficiency by ~40%
- Strengthened troubleshooting and administration workflows for application hosting on AWS
π¦ Containerized Application Deployment with Docker & Kubernetes
Containerized and deployed an application with Docker and Kubernetes to create an end-to-end workflow for image packaging, orchestration, and service exposure in a local cluster.
Key Results
- Built reusable Docker images to standardize application packaging and runtime behavior
- Deployed services to Kubernetes with Kind, reducing local environment setup overhead by ~50%
- Validated container-based release workflows for local orchestration and testing
Looking for more hands-on DevOps, cloud, and automation projects? Explore additional work on my GitHub profile.
View More on GitHubNext Engineering Focus
I am now pushing deeper into platform engineering patterns that make cloud-native systems more scalable, repeatable, and operationally reliable.
Why I Am a Strong Fit
Production-Minded
I focus on delivery workflows and infrastructure that reflect real operational expectations.
Infrastructure Discipline
I use Terraform and automation to make environments repeatable, reviewable, and easier to maintain.
Continuous Improvement
I care about security, observability, and the small operational details that make systems more trustworthy.
Resume & Experience
Prefer a quick recruiter-friendly summary? Download my resume for a concise overview of experience, technical strengths, and selected project impact.
Download My Resume
Access a concise CV covering my DevOps, cloud infrastructure, CI/CD, and platform engineering experience in a format that is easy to review and share.
Looking for a DevOps Engineer with AWS, Terraform, Kubernetes, and CI/CD expertise? Letβs connect.
Letβs Build Scalable Systems Together
Iβm open to DevOps Engineer, Cloud Engineer, and platform-focused roles where I can automate infrastructure, improve release workflows, and strengthen operational reliability.
You can also download my resume directly from the section above.