Lead UX Designer at Etihad Airways · Abu Dhabi
I design complex products that people
Lead UX designer for AI-assisted workflows, accessible design systems and enterprise platforms. I start with research and judge every decision by what changes for the people using it.
About
I'm Arunkumar, a Lead UX designer with 12+ years of making complex products clear. I start with research, design for accessibility from day one, and judge the work by measurable outcomes. Today I lead CRM and AI experience design at Etihad Airways.
- AI & Intelligent UX
- Design Systems
- UX Research
- Product Strategy
- WCAG 2.2 AA
- Arabic / RTL
- Team Leadership
- Figma
Selected work
05 projects
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Data visualisation
01
Read the case study →Revenue Cycle Analytics Platform
The problem
Finance teams worked from static tables, so claim delays and denial trends were hard to spot.
What I did
I designed executive and operational dashboards with drill-down, trend-first charts and a lightweight design system, all inside Power BI.
+25%task completion−70%cognitive load+35NPS -
E-commerce
02
Read the case study →ShopCPR Self-Quoting Experience
The problem
Support staff wrote every quote by hand, so buyers waited hours or days and the team was overwhelmed.
What I did
I designed a four-phase self-service quote journey with tiered pricing, customisation, status tracking and quote history.
−60%support workload, in testing5capabilities delivered4phase journey -
Onboarding
03
Read the case study →Organization Onboarding Redesign
The problem
Creating an organisation account was long and inconsistent, and the terms step sent people round in loops.
What I did
I replaced it with one guided wizard: a standard heading, a status bar, ID verification and consistent pop-ups.
+22%performance gain6 → 4pop-ups on main path6findings addressed -
AI · FinTech
04
Read the case study →Elirox AIgo Terminal
The problem
89% of retail F&O traders lose money, and most juggle six or more tools that never come together.
What I did
I designed one terminal with explainable signals, an AI chat rail that is always there and a ten-check risk engine.
−91%decision time per trade6 → 1apps while trading94%rate AI explanations useful -
Research
05
Read the case study →POS System UX Research
The problem
A legacy POS took 4.2 minutes to check out and 10 days to learn, and it stalled without a network.
What I did
Research led to five solutions: one-screen checkout, offline-first sync, integrated payments, a role-based dashboard and real-time inventory.
−50%cashier training time5 → 2checkout steps+40%stock-check accuracy
Companies & clients
Aviation · Healthcare · FinTech · Retail
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