
Muse Wearables
Connected Health · Fintech · AI · Product Design
At Muse Wearables, I lead interaction design across a connected ecosystem spanning wearable health technology, mobile experiences, AI-powered health guidance, and NFC-enabled payments.
My work bridges product strategy, UX architecture, interaction design, and visual systems. Working closely with the CEO, COO, CTO, VP of Product, and product managers, I translate evolving business goals and technical constraints into cohesive user experiences, from early-stage product discovery to detailed UI design, prototyping, and development collaboration.
I also explore AI-assisted design and development workflows to accelerate execution while retaining creative direction and design quality across the product.
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
Nature UI
The idea: It looks the way you feel.
Health data tells you what your body is doing. But numbers alone don't always communicate how you might feel throughout the day.
I proposed a nature-led visual direction for Ring One, where the app's environment reflects the user's recovery, stress, sleep, and daily rhythms. A bright green hillside conveys a day of strong recovery, a muted landscape suggests the need to take it easy, and a star-filled night sky creates a calmer context for winding down.
Rather than treating the home screen as a dashboard of disconnected metrics, Nature UI turns it into a living environment that evolves with the user's state.
The interface surfaces the most relevant insight of the moment alongside the landscape, while detailed scores, trends, and supporting health information remain accessible when users want to explore further.


The design challenge
How might we help users understand their body's state at a glance, without requiring them to interpret multiple health metrics before knowing what deserves their attention?
The challenge was to balance an expressive, immersive visual language with the clarity, hierarchy, and legibility required of a health-tracking interface.
My contribution
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Product vision: Proposed the nature-led interface concept and articulated the relationship between physiological data, visual environments, and contextual guidance.
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Experience strategy: Shaped the home screen around a primary, timely insight, supported by secondary metrics and deeper data views.
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Visual direction: Curated landscape imagery, explored environmental moods, and defined how imagery, typography, contrast, and layout work together.
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Interaction design: Developed screen concepts for different readiness states, health alerts, and wind-down experiences, keeping key information legible against changing backgrounds.
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Stakeholder alignment: Worked through feedback and trade-offs with senior leadership and product stakeholders to move the direction towards implementation.
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AI-assisted execution: Used Claude-powered design workflows to accelerate UI exploration and production, while retaining ownership of the creative concept, image selection, composition, and design decisions.
Design principles
01 — Feel before you analyse
Communicate an intuitive impression of the user's state before asking them to interpret numbers.
03 — A living visual system
Use landscape, light, atmosphere, and colour to create a visual language that responds to different health states and times of day.
02 — One insight at a time
Prioritise the most relevant information for the moment instead of competing for attention across multiple metrics.
04 — Depth when needed
Keep essential scores and trends accessible without making the primary experience feel like a dense analytics dashboard.
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
Rio AI (In production)
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.
Discovery & Opportunity Identification
Worked closely with product leadership to define Rio AI's role within the Muse ecosystem. Conducted exploratory research around user behaviours, health habits, and long-term engagement patterns to identify moments where intelligent assistance could create value.
Exploration & Iteration
The team explored multiple directions, beginning with a journaling experience focused on self-reflection and emotional tracking. This evolved into investigating the relationship between:
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Ring data (sleep, vitals, activity)
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User-provided inputs (mood, cycles, habits)
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Contextual AI prompts and insights
Several concepts, including habit-tracking interventions, were prototyped and evaluated before being discarded due to limited alignment with core user needs and AI potential.
Product Strategy & Definition
Contributed to product discovery and PRD definition by:
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Identifying target personas and use cases
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Mapping user behaviours and engagement patterns
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Defining feature opportunities and AI intervention points
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Collaborating on feature prioritization and product direction
My Contribution
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Product discovery and concept development
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Persona identification and user behaviour mapping
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AI opportunity identification and feature strategy
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PRD definition and iterative concept exploration
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Cross-functional collaboration with product leadership on Rio AI's vision and direction
Scripted and executed a product storytelling video to introduce Rio AI 'Applets', visualizing its features, interactions, and real-world use cases through motion graphics and contextual UI scenarios. The aim was to keep it simple and in context
RIO 'Applets' product storytelling video creation

