Muse Wearables

Muse Wearables

At Muse Wearables, I design end-to-end connected experiences that bridge physical hardware, mobile interfaces, AI-driven intelligence, and secure payment ecosystems within everyday wearable technology.

MY ROLE

Interaction Designer
Leading product design across health tech, fintech, and AI-driven wearable experiences

FOCUS AREA

Product Strategy, UX Research, Mobile App Design, Payment Flows, AI Interaction Design, Design Systems

TIMELINE

November 2025 – Present
Bangalore, India

A) Menstrual Health Tracking

Turning a fragmented product idea into a launch-ready health feature

The menstrual health tracking feature had been explored internally for several months before I joined, with early concepts, unfinished screens, and scattered product thinking distributed across multiple documents and design files. My role began with consolidating this fragmented groundwork and transforming it into a cohesive, launch-ready product experience that could be executed within startup timelines.

The Challenge

The primary challenge was not creating a feature from scratch, but navigating ambiguity. The project existed in fragments, incomplete design explorations, loosely defined requirements, and evolving product expectations. At the same time, leadership wanted the feature released quickly, which meant identifying the smallest possible version that still delivered meaningful user value while remaining technically feasible for development.

My Role

• Worked alongside product leadership during early-stage product discovery

• Contributed to PRD definition and feature prioritization

• Developed user personas and mapped behavioral patterns to identify intervention opportunities

• Explored multiple AI interaction models for contextual assistance and personalization

• Participated in iterative concept development to define the product direction before interface design

B) Muse Wallet (in production)

Reimagining NFC payments for wearable-first interactions

Muse Wallet is an NFC-enabled payment ecosystem designed to extend secure digital payments to a smart ring interface, enabling users to make seamless tap-to-pay transactions without relying directly on their phone during payment interactions.

The Challenge

Designing for wearable payments introduced constraints far beyond traditional mobile app design.

Unlike conventional payment experiences, this ecosystem required balancing extremely limited interface real estate, high security expectations, hardware dependencies, and real-world transaction uncertainty while ensuring the experience remained trustworthy and intuitive for everyday users.

User → Smart Ring → Authentication → Wallet → Bank/Card → Payment Terminal → Transaction Confirmation

My Role

• Led end-to-end UX/UI design for Muse Wallet

• Designed onboarding and payment setup experiences for first-time users

• Architected authentication flows balancing security with frictionless interactions

• Designed transaction handling and wallet management workflows

• Collaborated closely with backend engineers and product managers to align technical payment infrastructure with user experience requirements

Complex Design Problems Solved

A major part of this project involved translating highly complex backend payment infrastructure into user flows that felt invisible, frictionless, and trustworthy.

The challenge was designing confidence around a system users cannot fully see — ensuring secure authentication, minimizing transaction friction, and handling edge cases where physical hardware, digital systems, and payment infrastructure all interact simultaneously.

Learnings

This project strengthened my ability to think beyond interface design and approach product experiences as interconnected systems.

It deepened my understanding of designing around technical constraints, security-sensitive workflows, and interactions where physical and digital touchpoints must operate seamlessly together.

C) Rio AI

Designing intelligent product experiences through AI-assisted personalization

Core Product Question

The central challenge was understanding when intelligent assistance genuinely improves user experience rather than becoming unnecessary automation.This required thinking beyond interface design and carefully identifying moments where contextual AI could provide meaningful value based on user behavior, habits, and long-term engagement patterns.

ChatGPT Image Jul 1, 2026, 12_45_17 PM.png