Desiree' Weston's Cloud & AI Engineering Portfolio
Building scalable cloud + AI solutions with AWS, one project at a time.
Building Tomorrow's Cloud Infrastructure Today
I transform complex cloud challenges into elegant, automated solutions that scale.
Welcome! I'm Desiree Weston, a Cloud Engineer who believes great infrastructure should be invisible, powerful enough to handle millions of requests, secure enough to protect critical data, and smart enough to heal itself when things go wrong.
With over 5 years of experience across AWS, Azure, and GCP, I've helped organizations slash deployment times by 90%, reduce cloud costs by 40%, and achieve the kind of reliability that lets CTOs sleep soundly at night. From migrating legacy systems to the cloud to architecting microservices that scale automatically with demand, I build infrastructure that doesn't just work — it empowers teams to innovate fearlessly.
What drives me? The moment when a complex system comes together perfectly is when automated pipelines deploy code in seconds instead of hours, when infrastructure scales seamlessly under load, and when security is baked in rather than bolted on. This is where engineering meets artistry.
As an AWS Certified Cloud Practitioner and AI Practitioner, currently pursuing my Developer Associate certification, I combine deep technical expertise with a forward-thinking approach to cloud architecture. Whether I'm implementing GitOps workflows, orchestrating containers with Kubernetes, or integrating AI services for intelligent automation, I'm always focused on one goal: building infrastructure that accelerates your business.
Let's create something exceptional together.
Building Expertise Through Continuous Learning
Current Certifications
AWS Certified Cloud Practitioner
Amazon Web Services | Achieved: [3/10/2025]
Key Competencies:
AWS Cloud value proposition and economics
Security and compliance within the AWS Cloud
Core AWS services across compute, network, databases, and storage
Billing, account management, and pricing models
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AWS Certified AI Practitioner
Amazon Web Services | Achieved: [7/29/2025].
Key Competencies:
Fundamentals of AI, ML, and generative AI technologies
Practical applications of AWS AI services (Amazon Bedrock, SageMaker, Rekognition, etc.)
Responsible AI practices and MLOps principles
Designing intelligent solutions that combine cloud infrastructure with AI capabilities
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In Progress
AWS Developer Associate
Expected Completion: [September 2025]
Certification Roadmap
2025 Goals:
AWS Machine Learning Associate - Q4 2025
Certified Kubernetes Administrator (CKA) - Q4 2025
HashiCorp Certified: Terraform Associate - Q4 2025
Last Updated: [Aug 25]
Medium Articles
My Projects
I’ve developed AWS and AI projects that highlight my skills in cloud development and DevOps. From serverless web apps to AI-powered tools, my work demonstrates expertise with Lambda, API Gateway, DynamoDB, Bedrock, and CloudFormation, as well as modern CI/CD and Infrastructure as Code practices.
AI Feedback Classifier using AWS Comprehend & Boto3
A serverless app that classifies customer feedback into categories using Amazon Comprehend + Lambda + API Gateway, with results stored in DynamoDB. Built to demonstrate real-time NLP on AWS with a lightweight, scalable design.
AI Content Generator
An AI-powered text generation tool using Amazon Bedrock, Lambda, and API Gateway, with a Streamlit frontend for user interaction. Showcases generative AI integration with AWS services for on-demand content creation.