Implementation-focused summary
Open-ended personalization, production-safe outputs
Designed to convert customer ideas into usable, print-ready designs with clear constraints around quality, brand safety, and fulfillment requirements.
Problem
Traditional customization relied on templates and manual designer effort. The business needed an experience where customers could describe an idea in natural language, get multiple options instantly, preview on products, and purchase with confidence.
Solution
An AI personalization engine that generates multiple high-resolution candidates, applies them to product mockups, and outputs print-ready assets (with correct resolution, placement, and production constraints).
How it works
Generation
Prompt-to-image generation tuned for safety and on-brand outputs.
Mockups
Automated compositing onto product templates with correct alignment.
Print-ready
High-res outputs with production constraints considered (bleed, placement).
Architecture & Stack
- Text-to-image generation core configured for quality and brand safety.
- Mockup pipeline to preview designs across SKUs in real time.
- Processing for print-ready assets (resolution, layering, and placement).
- Web frontend + backend API orchestration for generation and delivery.
Impact
- Enabled flexible customization without linear increases in design headcount.
- Improved engagement as customers explored more creative combinations.
- Delivered a reusable engine extendable to new product categories and campaigns.
Your role
Led the design and implementation of the generation pipeline, mockup creation, and backend orchestration, focusing on reliability and production constraints.