

Anything AI | AI Fashion Shopping Product
Partnering with founders and engineering, owning the product from brand strategy and product definition through launch and ongoing development
Evolved the product from a virtual try-on experience into an AI-powered fashion platform spanning Manual Try-On, Quick Style by AI, AI Stylist, styling calendar, and personalized shopping.
Designed the core virtual try-on experience, including generation and loading states, result interpretation, and recovery flows for AI-generated model errors.
Designed the AI Stylist and wardrobe intelligence layer, using a user’s avatar and owned-garment data to power conversational styling, personalized recommendations, product discovery, and AI styling insights.
Expanded the product into a scalable commerce experience across PLP, PDP, cart, checkout, and try-on, defining the try-on-to-add-tobag rate as the north-star metric and establishing session guardrails before design began.
Ran comparative usability testing on two virtual try-on concepts, using research findings to select the interaction model that became the product’s core direction
Built the product’s Figma foundation across components, variables, prototyping, and Dev Mode-ready handoff; introduced AI-assisted design workflows using Claude MCP while maintaining design-system and brand consistency.
Seagul | AI-powered Mortgage Platform


Led a 3-person design team through the v1.0 launch of a hyper-casual gaming platform, designing the consumer app, website, and the backend CMS powering content and data
Grounded design in research: player interviews and surveys, personas, journey maps, wireframes, and iterative usability testing through final visual design.

SKILLS
Problem Discovery
User Research
Design Systems
Story Telling
Prototyping
Visual Design
Interaction Design
Tools
Figma
Claude
Replit
Cursor
Firebase
EDUCATION
Master of Computer Applications (MCA)Computer Science
Bachelor of Computer Applications (BCA)Computer Science