Serverless research / 2023
Image Optimization Research
Balancing image quality with delivery performance.
01 / CONTEXT
The platform
Research into image optimization using a serverless pipeline, evaluating image-quality settings against file size and delivery needs.
02 / CONTRIBUTIONS
My work
- Developed a serverless image-optimization pipeline using Node.js and AWS Lambda.
- Used AWS S3 and API Gateway within the delivery workflow.
- Evaluated quality settings to balance visual fidelity and file size.
03 / OUTCOME
The result
Developed a serverless pipeline and evaluated image-quality settings to balance visual fidelity, file size, and delivery performance.
Interested in the engineering behind this work?
Let’s talk ↗