
AWS Certified • Cloud Engineering Technology Graduate
I’m a Cloud Engineering Technology graduate with hands-on experience in AWS, Terraform, and GitHub Actions. I’ve designed and deployed this portfolio’s AWS infrastructure with CI/CD automation and DNS configuration through Route 53.
My goal is to step into an IT support or help desk role where I can gain real-world experience with systems and users, while continuing to build toward a long-term path in cloud and DevOps. I focus on security, reproducibility, and clear documentation, with a growing track record of self-driven technical projects.
During my time at Dunwoody, I was honored with the Academic Excellence Award for the Computer Technology department, and was featured for taking a hands-on, problem-solving approach to my capstone and personal projects.
I deployed this portfolio site to gain hands-on experience with real AWS infrastructure and modern DevOps practices. The site is hosted on S3, served securely through CloudFront, and mapped to my custom domain using Route 53. I manage the setup with Terraform, and the deployment process is automated using GitHub Actions with OIDC authentication.
This project gave me practical experience with DNS configuration, TLS certificates, CI/CD pipelines, and infrastructure as code. It also taught me how to secure deployments using temporary credentials and keep infrastructure reproducible.
I deployed a DNS filtering and ad-blocking system using Pi-hole in Docker on a Raspberry Pi 3 running Raspberry Pi OS Lite. This project gave me hands-on experience with containerization, Linux networking, persistent storage, and home network integration.
I started by flashing Raspberry Pi OS Lite with custom SSH, locale, and hostname settings, then installed
Docker and Docker Compose. I created a containerized Pi-hole setup using network_mode: host
for full DNS compatibility, mounted persistent config volumes, and locked down the system for privacy and
stability. Finally, I configured my ASUS router to route all DNS traffic through the Pi-hole instance and
tested full functionality across devices.
I built a working Kubernetes cluster using Multipass, Kubeadm, and Flannel CNI on my macOS system. The goal was to get real experience standing up a multi-node cluster, configuring container runtimes, managing networking, and learning cluster lifecycle tasks end to end.
The setup included one control plane node and one worker node, each running in its own Ubuntu 24.04 VM. I used Kubeadm for initialization, installed Containerd as the runtime, and configured system settings manually to support pod networking. I also deployed a test workload, backed up cluster resources, and scripted a full teardown process using Multipass.
A.A.S. in Cloud Engineering Technology
Dunwoody College of Technology — 2023
Completed coursework in AWS, Terraform, Linux, networking, scripting, CI/CD pipelines, and infrastructure automation.