Documenting cloud projects and foundational insights on my path to Cloud / AI architecture.
I'm developing skills in cloud, operations, and applied AI through hands-on projects and clear technical documentation. My focus is on strengthening fundamentals, improving how I think through technical problems, and turning what I learn into visible proof. I value collaboration and feedback loops, approaching the work through systems thinking and practical iteration to build reliable, repeatable results.
Admitted B.S. Cloud & Network Engineering student at WGU (Target Q2 2028)
A simulated support engineering lab focused on operations and automation.
Structured AWS SAA study focused on core services, architecture patterns, and key tradeoffs.
Completed + In Progress + Planned
Linux, Networking, Git, AWS, ITIL
Command-line for troubleshooting and system navigation.
Core networking intuition for cloud.
Version control habits for clean iteration and collaboration.
Foundational AWS literacy.
ITSM mindset for service and continuous improvement.
Planned next layer in the stack for scripting, tooling, and cloud automation.
Personal portfolio site designed and deployed to track progress, and showcase proofs.
A support engineering lab built around simulated case handling, troubleshooting workflow, documentation, and support-oriented Bash/Python tooling.
SAA-focused labs covering IAM, VPC design, storage decisions, and reliability or cost tradeoff write-ups.
Article on building in public and the role visibility plays in a self-directed technical career path.
Read on MediumMy first successful SSH into an Amazon Linux EC2 instance from WSL, and the key permission trap that blocked it.
Read on MediumStudy system, resources, and the approach that helped turn preparation into a passing result.
Read on LinkedInFollow the journey, explore the work, or get in touch