https://github.com/evanmarshall-dev/evanmarshall-tech

Professional IT services platform featuring serverless AWS infrastructure, ML-powered service recommendations, and automated CI/CD deployment. Built to showcase full-stack development, cloud architecture, and machine learning engineering skills.
https://github.com/evanmarshall-dev/evanmarshall-tech

api-gateway aws ci-cd cloud-computing cloudfront devops full-stack github-actions infrastructure-as-code lambda machine-learning mlops nextjs portfolio python react s3 scikit-learn serverless terraform

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Professional IT services platform featuring serverless AWS infrastructure, ML-powered service recommendations, and automated CI/CD deployment. Built to showcase full-stack development, cloud architecture, and machine learning engineering skills.

• Host: GitHub
• URL: https://github.com/evanmarshall-dev/evanmarshall-tech
• Owner: evanmarshall-dev
• Created: 2026-01-23T22:55:39.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2026-03-13T01:57:07.000Z (about 1 month ago)
• Last Synced: 2026-03-13T08:48:45.210Z (about 1 month ago)
• Topics: api-gateway, aws, ci-cd, cloud-computing, cloudfront, devops, full-stack, github-actions, infrastructure-as-code, lambda, machine-learning, mlops, nextjs, portfolio, python, react, s3, scikit-learn, serverless, terraform
• Language: JavaScript
• Homepage:
• Size: 1.74 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 9
• Metadata Files:
  • Readme: README.md

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README

          
# evanmarshall.tech

![AWS](https://img.shields.io/badge/AWS-Cloud-orange)

![Next.js](https://img.shields.io/badge/Next.js-16-black)

![Deployment](https://img.shields.io/badge/Deployment-Automated-green)

## Tech Stack

**Frontend:**

- Next.js 16 (React 19)

- Tailwind CSS

- TypeScript (optional for Phase 1)

**Backend:**

- AWS Lambda (Node.js 24.x)

- AWS API Gateway (REST API)

- AWS SES (Email Service)

**Infrastructure:**

- AWS S3 (Static hosting)

- AWS CloudFront (CDN)

- AWS Route 53 (DNS - if using custom domain)

- GitHub Actions (CI/CD)

**Machine Learning (Phase 2):**

- Python 3.11

- scikit-learn

- AWS SageMaker

- Docker (model containerization)

## Features

- ✅ Serverless architecture (auto-scaling, cost-optimized)

- ✅ Global CDN with CloudFront (< 100ms load times)

- ✅ Automated CI/CD pipeline

- ✅ Contact form with email notifications

- ✅ Responsive design (mobile-first)

- ✅ SEO optimized

- 🚧 ML-powered service recommendation engine (Phase 2)

- 🚧 Infrastructure as Code with Terraform (Phase 3)

## Deployment

**S3 Static Website URL:**

https://evanmarshall-tech-services-2026.s3-website-us-east-1.amazonaws.com

Automated deployment via GitHub Actions:

1. Push to `main` branch

2. GitHub Actions builds Next.js app

3. Syncs to S3 bucket

4. Invalidates CloudFront cache

5. Site live in ~2 minutes

**Manual deployment:**

```bash

npm run build

aws s3 sync out/ s3://your-bucket-name/ --delete

aws cloudfront create-invalidation --distribution-id YOUR_ID --paths "/*"

```

## What I Learned

This project taught me:

- Designing serverless architectures on AWS

- Implementing CI/CD pipelines with GitHub Actions

- Building production-ready React applications

- Cost optimization in cloud infrastructure (~$10/month for production app)

- API design and Lambda function development

- (Phase 2) Deploying ML models to production

- (Phase 3) Managing infrastructure with Terraform