Product engineering with the whole product in view.

I turn ambiguous needs into thoughtful, working products.

I work across product decisions, interaction design, software, and delivery. AI is part of the toolkit; product judgment decides where it belongs.

Based in Melbourne · building across research, design, and engineering

VR · MR · XR spatial development and UX

VR · MR · XR spatial development and UX
Web and mobile interfaces, AI-native
Tangible products and simulators
AI models, finetuning and training
Inference and its effects on UX

Selected work

Three places where the process becomes visible.

View every project

Mixed-reality training system

Cervical Spine Simulator

Turned an inconsistent peer-practice problem into a safe, repeatable learning environment.

AI-assisted clinical workflow

Vocal Context

Used clinician interviews to focus voice interaction on context retrieval and hands-free control.

Placeholder for new work

Next case study

A third product-engineering case study will be added here without changing the interaction model.

Position

Product engineering with the whole product in view.

I turn ambiguous needs into thoughtful, working products.

I work across product decisions, interaction design, software, and delivery. AI is part of the toolkit; product judgment decides where it belongs.

Based in Melbourne · building across research, design, and engineering

VR · MR · XR spatial development and UX
Web and mobile interfaces, AI-native
Tangible products and simulators
AI models, finetuning and training
Inference and its effects on UX

Reason

Reason before rendering.

The work starts by finding the right problem boundary.

I use fieldwork, interviews, and constraint mapping to replace assumptions with decisions.

Listen

Observe the workflow and the language people already use.

Frame

Make the product tension and constraints explicit.

Choose

Commit to the smallest decision that can generate evidence.

Make

Build to answer the question.

I prototype the risky part first, then engineer the path to reliable use.

The working canvas keeps assumptions, prototypes, and learning visible together.

Early cervical spine system sketch — Sketch the interaction

First physical prototype — Build the critical path

Then learn

Use feedback to change the product, not merely decorate the prototype.

Prove