Choosie is building _

Choosie ZhangHover to see the other side →
By day

AI/Data Engineer at IAG

Building property intelligence for insurers and customers.

Home Health Check

Led the backend and API architecture powering AI-driven property insights and recommendations for 200,000+ customers, helping homeowners better understand and manage their property risks.

Situational Awareness Map

Built real-time geospatial intelligence that helps claims teams identify properties impacted by major weather events and respond faster.

AI Automation

Transformed a half-day manual location-fix workflow into an AI-agent-driven process.

Hands-on EngineeringAI Native
Companies I've built for

What I Bring

From customer problems
to working products.

01

FIND THE RIGHT PROBLEM

I start with the problem, not technology.

Talk to customers. Understand workflows. Research the domain. Find pain points. Separate the real problem from the symptoms.

02

TURN AMBIGUITY INTO A PRODUCT

I turn problems into something buildable.

Define the opportunity. Form hypotheses. Explore solutions. Make trade-offs. Turn an unclear problem into a clear product direction.

03

BUILD ACROSS THE STACK

I build whatever the problem requires.

AI, data, maps, APIs, backend, cloud — I can move across disciplines and connect the pieces needed to make the product work.

04

SHIP, LEARN, ITERATE

A working prototype isn't the finish line.

Get it into users' hands. Work through integration and production constraints. Learn from real usage and feedback. Make the next version better.

Impact

Outcomes that moved forward.

Product outcomes across customer experience, operations, AI, and geospatial intelligence.

IAG · NRMABrick AI
IAG01
200K+

Customers

First rollout of Home Health Check, bringing property intelligence to 200K+ customers.

IAG02

Faster

Reduced a half-day operational workflow to ~30 minutes with an AI-assisted process.

IAG03

A First For IAG

Brought property condition and risk insights directly to customers for the first time — helping them understand what's happening with their home, the risks around it, and what they can do about it.

IAG04
15+

Major Events in 12 Months

Provided situational intelligence for bushfires, floods, hail and cyclones — supporting time-critical operational and workforce decisions in the command centre.

Brick AI05
50+

Customer Conversations

Spoke directly with 50+ home buyers and property investors while shaping Brick AI — learning how people search, evaluate properties and make buying decisions.

Brick AI06
0 → 1

Founder-Built

Took Brick AI from customer research and an early idea to a working AI-native property product.

Brick AI07
Selected

USYD Startup Program

Brick AI was selected for a University of Sydney startup program — external validation for an idea I'd taken from research to product.

Let's talk.

Have a project, a problem worth solving, or a role in mind? Fill out the form and I'll get back to you soon.

Or email me directly at choosiezhang@gmail.com