Open to cloud engineering opportunities · 2026

Sonia ShawCloud Engineer & AWS Solutions Architect

Cloud Engineer | AWS Solutions Architect Candidate

Technology professional with experience in consulting, cloud technologies, web development, and AI automation. Background includes Deloitte Consulting and WordPress development projects. Currently pursuing AWS certifications while building cloud architecture projects, AI-powered solutions, and automation workflows. Focused on AWS Solutions Architecture, Cloud Engineering, AI Agents, Serverless Computing, and Technical Documentation.

2
Certifications
2
AWS Projects
3.5
GPA
Sonia Shaw — Cloud Engineer
AWS Certified Cloud Practitioner
Cloud · Serverless · AI
Certifications

Certification Roadmap

Earned credentials and the next steps on my AWS journey.

AWS Certified Cloud Practitioner badge

AWS Certified Cloud Practitioner

Completed

Completed
100%
Scrum Master Certification badge

Scrum Master Certification

Completed

Completed
100%

AWS Certified Solutions Architect — Associate

In Progress

50%

AWS Certified AI Practitioner

Planned — Next Certification

15%
Featured Projects

AWS Projects

Hands-on cloud architectures with diagrams, services and lessons learned.

Custom Domain Portfolio Deployment architecture diagram

Custom Domain Portfolio Deployment

Published a professional cloud portfolio website and connected the custom domain soniashaw.com using Amazon Route 53 DNS records. This project demonstrates domain management, hosted zone configuration, DNS record setup, HTTPS website access, and deployment workflow using a modern AI-assisted web development platform.

User Browser → Amazon Route 53 → Lovable Hosting Platform → Portfolio Website.

AWS Services Used
Amazon Route 53
Lessons Learned
  • DNS hosted zone management
  • Custom domain configuration
  • A record setup
  • TXT domain verification
  • HTTPS website access
  • Portfolio deployment workflow

Next phase: migrate the static website to AWS S3, CloudFront, and ACM for a fully AWS-hosted architecture.

View on GitHub
AI-Powered AWS Troubleshooting Assistant architecture diagram

AI-Powered AWS Troubleshooting Assistant

An AI-powered AWS troubleshooting assistant built using n8n, OpenAI GPT-4o-mini, and a custom AWS knowledge base.

Live Demo Available

Version 1.2 — n8n + OpenAI GPT-4o-mini + Memory + AWS Knowledge Base

Next Phase — AWS Lambda + Amazon S3 Knowledge Base Integration

This project is currently deployed as a live AI-assisted AWS troubleshooting chatbot using n8n, OpenAI GPT-4o-mini, conversation memory, prompt guardrails, and a custom AWS knowledge base covering IAM, EC2, S3, Lambda, CloudWatch, and AWS permissions/access control. The next planned version will integrate AWS Lambda and Amazon S3 to support a serverless knowledge base architecture.

User → AI Assistant → n8n Workflow → OpenAI GPT-4o-mini → AWS Knowledge Base → AI Response.

AWS Services Used
AWS LambdaAmazon S3IAMCloudWatchOpenAI APIn8n
Lessons Learned
  • Serverless computing
  • AI agent development
  • Cloud troubleshooting
  • Knowledge base architecture
  • Workflow automation
  • AWS security best practices
View on GitHub
AWS Knowledge Hub

Services I Work With

Tap a service to dive into what it solves and how to use it well.

Toolbox

Skills & Tools

The stack I use to design, build, and ship on AWS.

Cloud

AWS IAMAWS EC2AWS S3AWS LambdaAWS VPCAWS CloudFrontAWS Route 53AWS ACMAWS CloudWatchAWS Load Balancers

Programming

PythonJavaJavaScriptSQLHTMLCSS

AI & Automation

AI AgentsOpenAI APIPrompt Engineeringn8nWorkflow AutomationKnowledge Base DesignRita AI

Web & SEO

WordPressElementorGitGitHubGoogle AnalyticsSEOGoogle Search Console
Experience

Professional Journey

2024

Consulting Analyst Intern

Deloitte Consulting LLP
  • Supported cloud and data engineering initiatives.
  • Assisted with AWS migration activities.
  • Worked with automation and observability solutions.
  • Participated in enterprise consulting projects.
  • Collaborated in Agile environments.
Summer 2025

WordPress Developer & SEO Specialist

Lecturus
  • Developed and maintained web platforms.
  • Implemented SEO best practices.
  • Configured Google Analytics and Search Console.
  • Improved website performance and user experience.
Education

Academic & Professional Training

Formal degree alongside specialized AI and automation training.

Bachelor of Technology in Computer Systems

New York City College of Technology (CUNY)
Expected Graduation: June 2026 · GPA 3.5
Key Areas of Study
Software DevelopmentCloud ComputingProject ManagementTechnical WritingPublic SpeakingDatabase SystemsNetworking Fundamentals

Advanced Artificial Intelligence and Automation Program

The Big School (Spain) — Online
Advanced Professional Training Program
Current Areas of Study
Artificial IntelligenceAI AgentsPrompt EngineeringWorkflow Automationn8nChatGPTClaudeGeminiAI-Powered ApplicationsBusiness AutomationLow-Code Development

Want the full story?

Download my resume — projects, certifications, experience, and tech stack.

Download Resume (PDF)
Contact

Let's build on AWS together

Open to cloud engineering roles, AWS Summit networking, and architecture conversations.

Email
sps543406@gmail.com
LinkedIn
linkedin.com/in/sonia-shaw-tech
GitHub
github.com/shawsonia26

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AWS AI Assistant
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Ask anything about AWS architecture, IAM, services, or best practices.