George Cartridge

Fullstack Software Engineer at Fenestra

Transformed a prototype into a production-ready platform for architects to generate AI visualisations. Designed and built end-to-end systems including a web-based Photoshop-style editor with layering, in-painting and presets, real-time multi-image generation. Delivered scalable systems for payments, analytics and rendering. Technologies used include Next.js, TypeScript, Vercel, AWS (S3/CloudFront/CDK), Modal (serverless GPUs for AI image generation) and Supabase (PostgreSQL).

Junior Integrations Developer at Evergreen Life

Independently designed and implemented an internal support web tool using Next.js, AWS Amplify, CDK, AppSync (GraphQL), Lambdas and SQS to enable the support team to easily trace and resolve errors without AWS or MongoDB access. Developed a reconciliation mechanism for the Shopify store using AWS Lambdas, SQS, CloudWatch and Shopify webhooks to ensure proper recognition of DNA test purchases in the backend. Employed TypeScript for clean, maintainable code with end-to-end tests and documentation.

Founder / Software Developer at Panther Proxies

Built and managed a squid proxy network across multiple servers and Google Cloud Compute Engine. Developed a comprehensive online proxy management dashboard and commercial REST API using PHP, HTML, CSS and Laravel, serving 1000+ customers. Led business growth across marketing, customer support and software development.

Fullstack Software Engineer at Fenestra

Transformed a prototype into a production-ready platform for architects to generate AI visualisations. Designed and built end-to-end systems, including a web-based Photoshop-style editor with layering, inpainting and presets; implemented real-time multi-image generation; delivered scalable systems for payments, analytics and rendering. Tech stack included Next.js, TypeScript, Vercel, AWS (S3/CloudFront/CDK), Modal (serverless GPUs for AI image generation), and Supabase (PostgreSQL).

Junior Integrations Developer at Evergreen Life

Independently designed and implemented an internal support web tool using Next.js, AWS Amplify, CDK, AppSync (GraphQL), Lambdas and SQS to enable the support team to trace and resolve errors in the app and backend without having to access AWS or the MongoDB database. Developed a reconciliation mechanism for the Shopify store using AWS Lambdas, SQS, CloudWatch and Shopify webhooks to ensure proper recognition of DNA test purchases in the backend. Used TypeScript, wrote end-to-end tests and documentation to ensure high quality and reliability.