Mid-Coast Maine • AWS • Terraform • Automation
Cloud engineering with a Maine coastal calm — and production-grade discipline.
I build secure, cost-aware AWS infrastructure using Infrastructure as Code. This site showcases projects designed to demonstrate real-world architecture patterns (global distribution, least-privilege IAM, resiliency, and clean delivery workflows).
AI-Powered Serverless Application
Terraform-managed AWS architecture integrating Bedrock-based inference with API Gateway and Lambda for scalable, secure AI-driven workflows.
- Serverless inference via API Gateway + Lambda
- IAM boundaries for secure model access
- Terraform-managed infrastructure
- Cost-aware and event-driven design
Portfolio projects
Real architectures, documented decisions, and IaC you can review. Each project includes: a clear problem statement, diagram, build steps, and lessons learned.
What makes these “portfolio-grade”
- IaC-first: Terraform structure mirrors real teams (separated files, consistent tagging).
- Security posture: private origins, least privilege, explicit trust boundaries.
- Operational thinking: teardown steps, cost controls, and documented tradeoffs.
What I’m Building Next
Focused areas I’m actively developing to deepen real-world AWS architecture and operational experience.
AI-Powered Serverless Application (Terraform)
Building a serverless application leveraging AWS AI services (Bedrock / SageMaker) deployed entirely via Terraform. Focused on integrating inference APIs, secure IAM boundaries, and scalable event-driven architecture.
Failure Testing & Recovery Patterns
Simulating failure scenarios across multi-AZ architectures and validating recovery strategies (RTO/RPO) with documented runbooks and architecture decisions.
Skills
Core areas I focus on while building and operating cloud infrastructure.
Infrastructure as Code
Terraform modules, remote state patterns, clean diffs, and repeatable deployments.
Networking & Delivery
VPC design, routing, security groups, CloudFront caching, DNS patterns.
Security
Least privilege IAM, private origins, encryption, and guardrails.
Reliability
Multi-AZ architecture, failure modes, and practical operational runbooks.
Certifications
Current and in-progress certifications that support the portfolio work.
Validated expertise in designing secure, resilient, and cost-optimized architectures on AWS, including networking, storage, compute, and IAM best practices.
AWS Certified AI Practitioner
AIF-C01 • In Progress
Developing foundational and practical knowledge of AWS AI services, including model integration, prompt design, and real-world application of generative AI within cloud-native architectures.
About
I’m building a portfolio that proves I can ship AWS infrastructure the way teams operate in production: secure defaults, clean IaC, and clear documentation of tradeoffs.
How I build
- Start with a real problem statement
- Design architecture + document tradeoffs
- Implement in Terraform with clean structure
- Validate with plan, deploy, verify, teardown
What you’ll see in each repo
- README with “why” decisions
- Architecture diagram
- Deployment steps + teardown steps
- Cost notes + security considerations