supporting work
Built, not hypothetical.
- Two different projects.
- Two different kinds of systems.
- The same principle behind both.
One is a commerce environment where the platform stayed and the experience changed. The other is a product that turns unstructured documents into decisions.
Both started with the process, not the technology.
01
E-commerce / Shopify
Shagufta Styles
The platform stayed. The experience changed.
A custom Shopify storefront for a luxury South Asian womenswear label, built around the brand instead of forcing the brand into a stock theme.
The work covered custom storefront components, responsive behavior, product and collection structure, motion, accessibility considerations, a release workflow, testing, and technical handover.
scope
- Custom storefront components
- Product and collection structure
- Responsive and motion behavior
- Release workflow and testing
- Technical handover
what the two share
Different products.Same question.
Does the system fit the job?
- One needed a platform bent to fit a brand.
- One needed a product that did not exist yet.
- Neither started with a technology decision.
- Both started with how the work actually happens.
A storefront and a document intelligence product have almost nothing in common at the surface. The method underneath them is the same: understand the process, find where it breaks, decide what should change, then choose the technology.
02
AI / SaaS
Rankid
From documents to decisions.
An AI product built to turn unstructured applicant documents into ranked, explainable decisions.
Resume analysis, candidate ranking, job-fit evaluation, and document intelligence inside a focused SaaS product rather than a general-purpose chat interface.
scope
- Resume analysis and parsing
- Bulk candidate ranking
- Job-fit evaluation
- Document question answering
- Explainable output
start here
What would your system look like?
Neither of these projects began with a specification.
They began with a description of how the work happened and where it stopped fitting.