Ahmad QadafiCloud Engineering · Data SystemsLet's talk

AWS Certified Solutions Architect — Associate · 2026

Cloud systems.
Data intelligence.

I'm Ahmad Qadafi, PhD—an AWS DevOps and Cloud Engineer with a decade of experience turning complex data into systems, decisions, and measurable outcomes.

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Ahmad Qadafi
AHMAD QADAFI, PHDPHOENIX, ARIZONA
10+years with data, research & systems
70%reduction in monthly reporting time through automation
10M+behavioral-health and grant records managed
2disciplines united: cloud engineering and data research

Featured cloud engineering

Cloud systems backed by
working code and evidence.

Architecture decisions, Terraform source, operational documentation, and evidence that the critical controls work.

01

Cloud Infrastructure

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 question

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

What I did

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

Cloud Infrastructure

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 São Paulo over private connectivity.

The question

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

What I did

  • RDS constrained to Tokyo; compute deployed in São Paulo
  • Private Transit Gateway peering with explicit routes
  • CloudFront, WAF, and a protected ALB origin
  • CloudTrail and validation evidence for residency and traffic flow
Multi-regionNetworkingComplianceTerraform
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Applied AI & product engineering

AI workflows designed
for review and control.

Product engineering that treats model output as a draft to validate, edit, and approve—not as an unquestioned answer.

A01

AI & Automation

AI-Assisted Lesson Planning Studio

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A teacher-controlled planning workspace for modular lessons, student handouts, answer keys, and reviewable AI-assisted drafts.

86offline regression tests with mocked AI calls

The question

How can AI accelerate lesson preparation without hiding uncertainty, accepting incomplete output, or taking control away from teachers?

What I did

  • Preset, customized, and build-from-scratch lesson paths
  • Section-level editing and regeneration that preserve the rest of a draft
  • Student handouts, teacher keys, Word/PDF exports, and design themes
  • Milestone 1 reliability audit, 86 offline tests, and tagged releases
FlaskOpenAI APIProduct EngineeringReliability
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Data & research portfolio

Analysis that changed
what happened next.

Mixed-methods studies, statistical modeling, usability testing, and program evaluation—translated into decisions people could act on.

D01

Where Are the Teens?

A mixed-methods study of participation in a virtual youth program that turned behavioral evidence into a new engagement strategy.

35%increase in active teen participation after the strategy launched
Read case study →D02

Virtual Club UX Study

A usability evaluation of online learning modules combining surveys, interviews, task testing, and a prioritized error taxonomy.

70%of participants found the modules engaging and easy to understand
Read case study →D03

Unlocking the Power of DIY STEM

A two-part segmentation and program-impact study that shaped a hands-on STEM curriculum and tested it against the standard program.

255participants in the comparative curriculum evaluation
Read case study →
View all data projects →

Technical capabilities

From evidence
to operations.

I work at the connective tissue: systems that are secure, repeatable, observable, and understandable by the next person.

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

Data & Evaluation

Research design that connects rigorous analysis to real program and product decisions.

Python · SQL · Regression · ANOVA · Mixed methods · UX research
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

Need someone who can connect infrastructure, data, and decisions?

akqadafi@gmail.com
GitHub ↗LinkedIn ↗