Designing trustworthy AI for complex systems.

Alex Wan is an AI product designer who makes ML and Gen AI feel clear, controllable, and human.

At Microsoft: ML + Copilot. At VMware: first Gen AI assistant from 0–1.

View selected work

Selected Work

A mix of shipped AI products, enterprise systems, measurable product impact, and independent AI experiments.

Microsoft

Designing AI agent experiences in Microsoft Fabric

Designing the conversational AI experience for Microsoft Fabric Data Agent — an AI-powered tool that lets anyone ask plain-English questions over enterprise data. I own tool management, AI reasoning transparency, and cross-product navigation.

AI AgentsCopilotEnterprise UXHuman-AI Interaction
Shipped to GA, March 2026

VMware

Designing VMware’s first Gen AI assistant from 0–1

Led the design of Tanzu Intelligent Assist, VMware’s first Gen AI assistant for enterprise cloud workflows — from opportunity framing and research to interaction design, testing, launch, and success metrics.

Gen AIEnterprise UXConversational AICloud Management
Launched at VMware Explore 2023

GEICO

Increasing claim scheduling completion by 10.2%

Redesigned GEICO’s insurance claim scheduling flow across mobile and desktop, simplifying repair decisions and improving scheduling completion by 10.2%.

Product DesignComplex WorkflowUX ResearchMobile/Desktop
+10.2% scheduling completion

Passion Project

Inkling: A Gen AI translation plugin for ambiguity and nuance

Co-created a Gen AI translation plugin for long-form reading, combining contextual guidance, model choice, OCR image translation, and inline revision to preserve ambiguity and cultural nuance.

Vibe CodingGen AIMultilingual UXBrowser Extension
6 international design awards

How I design intelligent systems

A lightweight set of principles that guide my AI product design work.

Trust over magic

Make AI behavior understandable, not mysterious.

Control over automation

Keep users involved in high-stakes or ambiguous decisions.

Context over prompts

Design ways for users to provide the right context at the right moment.

Feedback over finality

Treat AI output as something users can refine, correct, and guide.

Writing & AI Thinking

External articles on AI product design, multilingual model behavior, and human-AI interaction.

Bootcamp / Medium 2024

How Gen AI is transforming the UX design process

Reflections from designing a Gen AI product from 0–1, covering opportunity framing, collaboration, success metrics, edge cases, tone, trust, testing, accessibility, and business considerations.

Gen AI UXProduct DesignHuman-AI Interaction
Towards Data Science 2025

Japanese-Chinese Translation with GenAI: What Works and What Doesn’t

Towards Data Science Editor’s Pick. Tested 10 Gen AI models to evaluate Japanese–Chinese translation quality and identify recurring challenges around pronouns, context, tone, and cross-cultural nuance.

AI EvaluationMultilingual AITranslation UX

What partners say

Trusted by product partners

Notes from product managers, engineers, and designers I've shipped Gen AI work with.

VMware Product Manager, Tanzu Intelligent Assist
Alex not only delivered outstanding design work but also challenged assumptions, asked insightful questions, and ensured we were always moving in the right direction.
VMware UX Manager & UX Lead
One of the most amazing designers I have worked with. She gets to the depth of the problem, and is an amazing collaborator and innovator.
Broadcom Principal Product Designer
Alex consistently quickly grasps the complex domain, and her competency in tools like Figma is outstanding. Her design work was always user-centric and creative.
VMware Tanzu Head of UX Research
Alex excels at gathering and integrating qualitative and quantitative data. Her data-driven approach ensures decisions are backed by evidence.
VMware Generative AI Architect (Staff II)
Alex's ability to distill complex user data into actionable insights has significantly improved our product. Tanzu Intelligent Assist exists in large part due to her efforts.
Penn Associate Professor (Research)
She interfaced amazingly well with data scientists and developers to get the final product up and running at a lightning-quick pace.
Penn Medicine Director of Research, Digital Health
Alex was proactive in identifying problems and proposing solutions. She designed and rapidly iterated an interactive mapping dashboard — her work was truly indispensable.