End-to-end UX for an AI-driven logistics estimation platform — reducing estimation inaccuracies and streamlining the virtual survey experience.
View Project
Redesigning data visualization for enterprise storage arrays — turning raw performance metrics into actionable insights for IT administrators.
View Project
Scaling and optimizing India's national COVID-19 vaccination UI serving millions of users — accessibility, localization, and zero-downtime updates.
View Project
Designing for field healthcare workers in low-literacy contexts — human-centric mobile interfaces for maternal and child nutrition tracking.
View ProjectSenior UX / UI / Product Designer with 9+ years of experience crafting intuitive digital experiences for enterprise SaaS, data-driven platforms, and consumer products. Skilled across the full design lifecycle — from user research and journey mapping to wireframing, prototyping, and usability testing. I collaborate closely with product, engineering, and business teams in Agile environments to turn complex problems into simple, effective solutions. Proficient in Figma, design systems, and accessibility-focused, responsive design, with a strong focus on validating decisions through workshops and user testing.
Open to senior UX/UI roles, product design leadership, and design systems opportunities. Reach out — I respond within 24 hours.
Relocating to a new home is often a stressful and time-consuming experience. People struggle to accurately assess their belongings, estimate moving requirements, compare service providers, and understand the actual cost of relocation. Traditional moving processes are often fragmented, lack transparency, and depend heavily on manual estimation — making it difficult for users to make confident decisions.
Moving quotations were manual, fragmented and unpredictable.
Consumers and moving vendors had different needs but depended on the same inventory data.
I mapped the complete relocation ecosystem to understand where friction occurred.
Interviews + competitive analysis + task analysis + stakeholder workshops + technology feasibility.
The biggest opportunity was removing manual inventory creation and creating pricing transparency.
I visualized the current consumer/vendor journey and identified high-friction moments.
How might we automate inventory while maintaining user trust and control?
Explored manual inventory, photo recognition, spatial scanning and AI-assisted verification.
AI-powered home scanning → structured inventory → vendor marketplace → transparent bids.
B2C mobile scanning experience + B2B vendor dashboard + shared inventory system.
Test scanning comprehension, AI corrections, inventory accuracy, quote comparison and booking confidence.
Measurable improvements: reduced inventory creation time, reduced physical surveys, increased quote comparison, improved vendor response time and reduced pricing disputes.