UX & Experience Design Leader · UAE
I bring UX leadership across complex products and services, and I’m expanding into AI and data solution delivery through hands-on prototypes, pipeline and dashboard work, and ongoing Databricks learning.
Experience across complex digital services
Led across product, engineering and operations
Documented applied-AI implementations
Selected UX leadership evidence
Trust, security and inclusionA multi-channel experience spanning web, app, email, counters, kiosks and turnstiles—designed around identity, assisted access and operational reality.
Reported pilot signal: zero fraud incidents · validation pending
Conversion and service orchestrationA mobile-first booking transformation covering discovery, seat choice, cross-sell, transfer, cancellation, queues and bot protection.
Reported pilot indicators: +10% completion · −12% seat drop-off · +5% cross-sell · validation pending
Expanding the practice
Hands-on work with explicit evidence limits. These projects show a developing delivery practice; production readiness and impact remain to be verified.
Implemented learning prototype
An AI-assisted support prototype with APIs, Postgres, agents and approval flows. My work includes problem definition, review, SQL checking and debugging.
Evidence limit: Deployment is unverified. No production outcomes are claimed.
Source prototype
A source prototype covering Python ingestion, SQL transformations, Parquet outputs and a Streamlit dashboard. The next step is to reproduce and check its results.
Evidence limit: Runtime is unverified. No operational performance or business impact is claimed.
In progress
Structured study and sample-data exercises are building the foundation for a Databricks pipeline. A completed pipeline or certification is not claimed.
Evidence limit: Work is in progress. No completed deployment or measured outcome is claimed.
What changes inside the organisation
These documented experiments explore how AI can support research, delivery and quality. Prototype results are evidence to assess, not proof of production impact.
My working model
A repeatable model for moving from ambiguity to evidence, experience and adoption—with an explicit human decision at every stage.
Define the decision, users, constraints and evidence required.
Combine behavioural data, interviews, reviews and domain evidence.
Use AI to structure patterns while keeping interpretation accountable.
Move rapidly from requirements to journeys, systems and prototypes.
Test usability, accessibility, consistency and visual quality.
Document controls, ownership, measures and repeatable team practices.
AI contribution
Speed, scale, structure and repeatability
Human accountability
Context, judgement, ethics and final decisions
Selected craft
Open any frame for a focused view. Motion work is marked and plays with native controls.
Leadership signal
Existing testimonials are preserved while new recommendations are being collected and approved.
Riaz brings together deep UX expertise, product thinking and a collaborative mindset. He manages cross-functional teams, aligns stakeholders, leads with empathy and communicates design rationale with unusual clarity.
Ahmed Mustafa Abdoo
Senior Software Solution Architect · Sudan
Riaz brings a solid mix of UX depth, visual craft and strategic thinking. He balances big-picture thinking with the interaction details that make a product feel complete, while remaining a calm and collaborative teammate.
Prasanna Kumar
UX Designer · Australia
Riaz doesn't just create outstanding designs—he develops outstanding experiences for end users. His experience across India, UAE and US markets brings an invaluable global perspective to every project discussion.
Sundara Moorthy
Tech Support Specialist · UAE
During the DHA flagship app initiative, Riaz applied user-centred design that brought clarity and value. He collaborated across business, vendor and technical teams and consistently delivered intuitive, accessible, high-quality design.
Ifthiquar Ahmed Jameel
Digital Transformation Expert · UAE
Recruiter-ready material