Software Developer | Cloud Engineer | ML Enthusiast
AWS Data Center Operations Tech III • George Mason University Computer Science • AWS Certified Cloud Practitioner
AWS Data Center Operations Tech III • George Mason University Computer Science • AWS Certified Cloud Practitioner
Computer Science senior at George Mason University, and accelerated master’s student with a concentration in Machine Learning. Currently working as a Data Center Operations Tech III at Amazon Web Services, where I manage and maintain the physical infrastructure that powers AWS's global cloud services. This portfolio is a demonstration of my cloud engineering skills, showcasing projects hosted on AWS and built with Python and JavaScript.
Static portfolio website hosted with Amazon S3 and delivered globally using Amazon CloudFront.
AWS Serverless Architecture • HTML • CSS • JavaScript • Python
This portfolio is hosted on AWS using a serverless cloud architecture. The frontend is sorted in Amazon S3, delivered globally through Amazon CloudFront, and secured with HTTPS using AWS Certificate Manager.
User Browser
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Route 53 DNS
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CloudFront CDN
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AWS Certificate Manager HTTPS
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Amazon S3 Static Website Files
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Amazon API Gateway
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AWS Lambda
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Amazon DynamoDB
Route 53 routes my custom domain to CloudFront. CloudFront caches and delivers the website globally. S3 stores the all files for the website. API Gateway exposes a backend endpoint for the visitor counter. Lambda runs the backend Python code and DynamoDB stores the visitor count.
The project is connected to GitHub Actions, so when I push changes to GitHub, the workflow automatically uploads the updated files to S3 and invalidates the CloudFront cache, ensuring visitors see the latest version of the website.
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