Nyrah — AI Fashion Discovery Platform

NYRAH is a pre-launch AI-powered fashion discovery platform that helps women find clothing across independent and boutique brands through one search experience.

Users can describe what they are looking for in natural language or upload a reference image to discover relevant products.

Fashion discovery is fragmented across hundreds of separate retailer websites.

Shoppers often know the style, mood, or occasion they want, but traditional filters do not always understand requests such as:

“A flowy red dress for a beach wedding.”

The goal was to make fashion search feel more natural, visual, and personal.

NYRAH combines conversational search, image-based discovery, and personalization to help users find products that better match their taste and intent.

The experience also includes curated collections and saved items for users who want to explore before making a specific search.

I worked across the product, AI, backend, and data layers.

My responsibilities included the discovery experience, product-search workflows, personalization, catalog ingestion, and the application architecture supporting the platform.

Conversational fashion search

Text and image-based product discovery

Multimodal search experiences

Personalized ranking and recommendations

Curated collections and saved favorites

Mobile-first product experience

Next.js, React, Python, FastAPI, PostgreSQL, vector search, multimodal AI, and LLM integrations