Project portfolio

Explore the work.
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Browse working applications, cloud infrastructure, automation tools, and research studies. Each project appears under its primary purpose; its tags show the methods and technologies involved.

01 · 2 projects

Data Applications & Dashboards

Working tools for exploring data, comparing scenarios, and managing reporting workflows.

D05

Data Applications & Dashboards

Community Health Operations Intelligence

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A public dashboard connecting Arizona county planning with census tract profiles, using CDC, Census, and CMS data, clustering, and stability testing.

1,730Arizona census tracts included in the clustering study

The question

Where should a health system or public-health team invest limited outreach, mobile-clinic, care-coordination, or grant resources first?

What I did

  • Public-data pipeline joining CDC PLACES, Census ACS, and CMS sources
  • K-means and Ward clustering compared across two to six groups
  • Resampling and feature-sensitivity checks on 1,730 eligible census tracts
  • Live county scenarios, tract maps, model controls, and verifiable CSV downloads
Pythonscikit-learnClusteringStreamlit
04

Data Applications & Dashboards

AWS Public Health Reporting Workflow

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A public-health reporting workflow with required-dataset tracking, versioned corrections, manager review, and approved report archives. Demonstrated locally with synthetic data.

The question

Track what is missing, which version passed validation, and exactly which output a manager approved.

What I did

  • Required datasets and preserved submission versions
  • Validation details and de-identified draft reports
  • Manager decisions with stale-review protection
  • Approved-only archives with version and checksum evidence
PythonFastAPISQLData Engineering
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02 · 2 projects

Cloud Infrastructure

AWS architecture, networking, security, Terraform, and operational testing.

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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03 · 2 projects

AI & Automation

AI-assisted lesson planning and local tools that automate repeatable tasks.

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
03

AI & Automation

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 question

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

What I did

  • 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
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04 · 4 projects

Research & Evaluation

Statistical analysis, UX studies, and program evaluation, presented as research case studies.

D01

Research & Evaluation

Where Are the Teens?

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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

The question

Understand why teens were not participating consistently in a Facebook-based virtual program and identify practical levers for change.

What I did

  • Survey analysis and staff/member focus groups
  • Multiple regression to identify significant participation predictors
  • Research-backed Instagram engagement strategy
  • Post-launch validation using participation and engagement trends
RegressionMixed MethodsProgram EvaluationStrategy
D02

Research & Evaluation

Virtual Club UX Study

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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

The question

Find the specific content and platform issues preventing teens from completing virtual learning modules.

What I did

  • 30 participants ages 13–18
  • Surveys, interviews, and task-based usability testing
  • Critical, major, minor, and cosmetic error classification
  • Prioritized recommendations tied to observed failure points
UX ResearchUsability TestingInterviewsAnalysis
D03

Research & Evaluation

Unlocking the Power of DIY STEM

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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

The question

Design a STEM program around member preferences, then determine whether the new curriculum improved youth outcomes.

What I did

  • Latent class analysis identified three learner segments
  • 255 participants across DIY and standard curricula
  • Mixed-design ANOVA across interest, understanding, and efficacy
  • Findings translated into curriculum guidance
Latent Class AnalysisANOVASegmentationImpact Evaluation
D04

Research & Evaluation

Investing in Our Future

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A community-centered mixed-methods study of education, safety, resources, and resilience among marginalized youth.

The question

Turn lived experiences and survey evidence into concrete recommendations for community investment and youth support.

What I did

  • Interviews with teachers, parents, and young people
  • Student survey on attainment, violence, and education quality
  • Integrated themes of alienation, resilience, and access
  • Actionable recommendations for programs, schools, and funders
Qualitative ResearchSurvey ResearchCommunity DataPolicy
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Let's connect

Discuss a project or a role.

akqadafi@gmail.com ↗