AQ.Let's talk

AWS Certified Solutions Architect — Associate · 2026

Secure cloud systems.
Built to be operated.

I'm Ahmad Qadafi, an AWS DevOps and Cloud Engineer. I design, automate and validate infrastructure with Terraform, private networking, CI/CD controls and production-grade observability.

Explore my work GitHub profile
PLATFORM / 01AVAILABLE FOR OPPORTUNITIES
AWSDEVOPS
IaCSECOBSCI/CD
TerraformPythonLinuxDocker
70%reduction in monthly reporting time through automation
10M+behavioral-health and grant records managed
3portfolio platforms with documented validation evidence

Selected engineering work

Platforms with proof,
not just diagrams.

Each project includes architecture decisions, Terraform source, operational documentation and evidence that the critical controls work.

01

Secure AWS Application Platform

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A production-minded AWS foundation built with Terraform: private workloads, layered ingress security, centralized observability, and tested incident workflows.

The challenge

Expose an application safely while keeping compute and data private—and make the platform operable when something fails.

What I built

  • Route 53, ACM, ALB and AWS WAF at the public edge
  • Private EC2 and RDS with SSM access and VPC endpoints
  • CloudWatch telemetry, ALB/WAF logs and alerting
  • Lambda, S3, SNS and Bedrock-assisted incident reporting
TerraformAWSSecurityObservability
02

Multi-Region Data Residency Platform

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A verifiable cross-region architecture that keeps regulated data in Tokyo while serving application compute from Sao Paulo over private connectivity.

The challenge

Meet a strict residency boundary without sacrificing resilient application delivery or audit-ready proof.

What I built

  • RDS constrained to Tokyo; compute deployed in Sao Paulo
  • Private Transit Gateway peering corridor with explicit routes
  • CloudFront, WAF and a protected ALB origin
  • CloudTrail and validation evidence for residency and traffic flow
Multi-regionNetworkingComplianceTerraform
03

Familiar: Local Automation Server

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A local, standard-library Python MCP server that turns a Markdown knowledge base into a searchable, maintainable second brain.

The challenge

Make personal knowledge useful across sessions without sending private notes to a hosted database.

What I built

  • Save, search, read and write workflows for a local vault
  • Daily briefs, inbox triage and project summaries
  • Duplicate and contradiction auditing
  • Installer, smoke tests, full tests and operational documentation
PythonAutomationMCPTesting

Technical capabilities

From architecture
to operations.

I focus on the connective tissue: infrastructure that is secure, repeatable, observable and understandable by the next engineer.

01

Cloud Infrastructure

AWS architecture across networking, compute, data, storage and edge delivery.

VPC · EC2 · ECS · RDS · S3 · Lambda · CloudFront · Route 53
02

Infrastructure as Code

Reusable Terraform modules, explicit configuration and validation evidence.

Terraform · Git · GitHub Actions · CI/CD · State management
03

Security & Reliability

Least-privilege access, private network paths and observable production controls.

IAM · WAF · Secrets Manager · SSM · CloudWatch · CloudTrail
04

Automation & Systems

Practical tooling that removes repetitive work and makes operations easier to verify.

Python · Bash · Linux · Docker · APIs · MCP

Experience

Engineering shaped
by real constraints.

My path into cloud engineering began with high-stakes data systems—work that demanded accuracy, traceability and clear communication.

Data Systems & Cloud Automation

Maricopa County / South Phoenix Healthy Start

Built cloud-connected reporting and automation workflows for public-health operations, reducing monthly reporting time by 70% while strengthening data quality and repeatability.

Senior Statistical Analyst / Data & Cloud Engineering

Advocates for Human Potential

Engineered reproducible data processes and analytical systems for complex behavioral-health programs and regulated reporting environments.

Research & Evaluation / Data & Cloud Engineering

Boys & Girls Clubs of Chicago

Designed durable data infrastructure, automated recurring analysis and translated technical findings for cross-functional stakeholders.

About me

PHOENIX, ARIZONA

I bring a researcher's rigor to cloud engineering.

Before building AWS platforms, I spent years designing data systems and evaluating complex public programs. That background trained me to make assumptions explicit, test what matters and leave behind evidence that other people can trust.

Today, I apply that same discipline to infrastructure: translating requirements into secure architecture, automating repeatable delivery and documenting the path from design decision to verified outcome.

PhD, University of ChicagoMA, University of ChicagoBA, Washington University in St. Louis

Start a conversation

Building something that needs to be secure, clear and reliable?

akqadafi@gmail.com
GitHub ↗LinkedIn ↗