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UX & Design Leader · Abu Dhabi

I lead experience design—and augment how teams work with AI.

UX and Design Leader with 15+ years of experience shaping complex products and services across healthcare, enterprise technology, ticketing, destinations and entertainment. Combines established UX leadership with practical, governed AI augmentation across research, requirements, prototyping, design systems and evaluation while keeping evidence, accessibility and human judgement accountable.

Seeking senior UX and Product Design leadership roles and selected independent consulting engagements in the UAE.

View selected evidenceDiscuss consulting

Verified task result

5 days → 30 min Production workflow

Prototype benchmark

Under 2 min Requirement to prototype

System scale

7 agents Behavioural analysis

Private evaluation

Local 3B model First-pass UI critique

AI-augmented design practice

Four ways I help design organisations work better.

Explore all 10 systems →

Operational efficiency

Episodes 1 · 7

Return specialist time to decisions.

5 days → 30 minVerified task result

Human control remains visible

Start with high-volume, low-risk tasks. Require approval before actions or outputs move forward.

Operational efficiency implementation example

Working system

  1. 01Repetitive work
  2. 02Agent prepares
  3. 03Human reviews
  4. 04Decision
1. Repetitive work automation7. Workday command centre

Three transformations

Capacity5 days → 30 min
Before

Manual production

→
Augmented

Governed automation

Verified resultView evidence ↗
Research7-agent system
Before

Fragmented signals

→
Augmented

Multi-agent analysis

Prototype evidenceView evidence ↗
QualityLocal 3B model
Before

Ad-hoc UI review

→
Augmented

Private local critique

Prototype evidenceView evidence ↗

Leadership scope

10+ digital products

Leadership across product, engineering, legal, operations and delivery partners.

Verified pilot

Zero fraud incidents

Three-month secure-ticketing pilot balancing identity, usability and assisted access.

Applied AI

10 systems documented

Research, synthesis, design-system automation, evaluation and local UI critique.

My working model

AI accelerates the work. People remain accountable.

A repeatable model for moving from ambiguity to evidence, experience and adoption—with an explicit human decision at every stage.

  1. 01

    Frame

    Define the decision, users, constraints and evidence required.

    Problem and risk alignment
  2. 02

    Research

    Combine behavioural data, interviews, reviews and domain evidence.

    Source quality and consent
  3. 03

    Synthesise

    Use AI to structure patterns while keeping interpretation accountable.

    Insight validation
  4. 04

    Design

    Move rapidly from requirements to journeys, systems and prototypes.

    Design judgement
  5. 05

    Evaluate

    Test usability, accessibility, consistency and visual quality.

    Evidence-based approval
  6. 06

    Govern & scale

    Document controls, ownership, measures and repeatable team practices.

    Release and adoption

AI contribution

Speed, scale, structure and repeatability

Human accountability

Context, judgement, ethics and final decisions

Selected craft

Visual & Interaction Design

Open any frame for a focused view. Motion work is marked and plays with native controls.

View the complete visual collection →

Experience-design foundation

Secure ticketing without excluding less-digital guests.

Strategy across web, app, email, counters, kiosks and turnstiles.

Read case study →

Applied AI proof

A local model trained to critique interfaces.

A 3B VLM, LoRA adapter, golden evaluation set and documented human override points.

Explore AI implementations →

Daily practice stack

Tools organised around outcomes.

1→

Understand

GA4 · Microsoft Clarity · research agents

Behavioural evidence and structured insight

2→

Create

Figma · design systems · rapid prototyping

Journeys, interfaces and testable directions

3→

Orchestrate

LangGraph · multi-agent workflows · automation

Repeatable research and production systems

4→

Evaluate

UI regression · accessibility · local VLM critique

Quality checks with human approval

5

Build & learn

Code · APIs · Databricks · local models

Working prototypes and applied experiments

Continuous control layer: privacy · evidence · human judgement · measurable quality

Applied daily

Independent consulting

Defined engagements. Useful outcomes.

Discuss an engagement
01

1–2 weeks

AI-Augmented Design Workflow Audit

Find repetitive work, quality gaps, risks and practical opportunities for augmentation.

  1. 1Current-state map
  2. 2opportunity priorities
  3. 3governance recommendations
02

2–4 weeks

Evidence-to-Prototype Sprint

Turn research and requirements into a focused, testable product direction.

  1. 1Evidence synthesis
  2. 2experience direction
  3. 3working prototype
  4. 4evaluation
03

4–8 weeks

Design + AI Operating Model

Establish a practical way for teams to adopt AI without losing judgement or accountability.

  1. 1Workflow design
  2. 2controls
  3. 3playbook
  4. 4enablement
  5. 5success measures

The transition

UX leadership is the foundation—not the chapter being left behind.

I am not moving away from UX. I am expanding how experience work is researched, designed, evaluated and delivered.

  1. 1

    Engineering

  2. 2

    UX execution

  3. 3

    Experience leadership

  4. 4

    AI-augmented practice

  5. 5

    Independent consulting

Human-centred thinkingComplex problem solvingDesign judgementLeadershipBusiness outcomes

The foundation to lead. The curiosity to build what comes next.

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24-second portfolio reel