UX Engineer. Researcher. Human-AI Interaction Specialist.
Crafting timeless, accessible experiences that make the complex feel effortless.
Designing a patient-first medication adherence app for elderly users with chronic conditions. A mixed-method research approach — augmented by Gen AI synthesis — surfaced hidden care gaps and drove a caregiver-aware concept.
Bridging the gap between WCAG compliance claims and lived experience for low-vision and motor-impaired transit users. Participatory research with 9 disabled users drove an accessibility-first concept for Moovit's 1.5B+ global audience.
Increasing community engagement with ASU's Burrowing Owl Conservation effort through interactive communication, card sorting, and user testing.
A modern quiz app leveraging image-based sensory learning, live game streaming, and gamification to make adult learning engaging across all ages.
An umbrella platform for students, teachers, and school admins — combining assignments, assessments, lesson planning, and scheduling in one product built for India's shift to online education.
A cross-platform web and mobile interface for transparent gold and silver trading — the first product to offer both digital and physical delivery orders in one place.
I'm a UX Engineer with 8+ years of industry experience and over a decade in research. Inika specializes in building human-centric solutions that bridge the gap between what users need and what businesses must achieve.
Her process is rooted in deep empathy, rigorous research, and a belief that the best designs feel inevitable — like they couldn't have existed any other way.
"Your product runs for election every day and good design is critical to winning the campaign."
Immersive research — stakeholder interviews, user sessions, competitive analysis — to understand the real problem before solving any problem.
Synthesizing insights into clear problem statements, personas, and journey maps that align teams around what truly matters.
Iterative sketching, wireframes, and high-fidelity prototypes — exploring divergent solutions before converging on the right one.
Validated designs handed off with precision — clear specs, annotations, and ongoing partnership through development.
I integrate generative AI thoughtfully into my workflow — not to replace design thinking, but to accelerate it. Here's how I use it.
Synthesizing large volumes of qualitative data, surfacing patterns from interview transcripts, and generating screener questions faster.
Generating lo-fi concept visuals and mood boards early in discovery to align stakeholders before investing in high-fidelity work.
Using LLMs to draft microcopy, error messages, and onboarding content — then refining with real user language from research.
Rapidly mapping the competitive landscape and identifying design patterns across products to inform strategic decisions.
Flagging potential WCAG gaps in copy and flows, and generating alternative text descriptions for image-heavy deliverables.
Drafting research reports, design rationale docs, and handoff annotations — freeing time for higher-order design decisions.
AI as a collaborator, not a crutch. Every AI output is a starting point. Final decisions are always grounded in real user data, domain expertise, and critical design judgment. Gen AI accelerates the work — it doesn't replace the thinking.
Whether you're building something new or reimagining something existing — I'd love to hear about it.
wadhinika@gmail.com