Product direction · Structured delivery · Tested software
Turning real-world problems into AI-powered products.
I combine product discovery, structured planning, testing and modern AI tools to move practical ideas toward working, testable software.
Currently employed · Seeking early-career AI product opportunities
Chapter 01 · About
I took a self-taught, non-traditional path into AI product development by building and testing real products.
I have taught myself by identifying problems, writing requirements, directing implementation, reviewing implementations, testing assumptions and improving real applications over time.
That work has developed meaningful strengths in product direction, prioritisation, validation, UX feedback, documentation and iterative delivery. I am continuing to deepen my programming and software-engineering knowledge through every build.
I am motivated by what I can contribute now—and by how quickly I could grow with experienced engineers, designers and product people around me.
Chapter 02 · Selected Work
Each case study shows the problem, my product direction, what was built and tested, and what I learned.
The closed-test dashboard combines local system status with a prioritised insight and a safe next step.
Translating Windows system signals into plain-English guidance without changing the machine.
How can PC diagnostics help a non-technical user decide what to check next—without taking control away?
Executive dashboard using the fictional Harbour & Hearth Bistro showcase dataset.
Connecting recipe costs, menu prices and sales context so hospitality operators can see what deserves attention.
How can disconnected menu data become a clear, explainable business decision?
Phase 0 is complete. Gate 3B remains a founder decision; later product implementation is not yet authorised.
Designing an evidence-governed research system before committing to product implementation.
How can AI-supported investment research remain attributable, reproducible and under the user’s authority?
Chapter 03 · How I Build
A structured path from an observed problem to software that can be reviewed, tested and improved.
Start with a practical frustration, unmet need or recurring task that deserves a better product response.
Learn who experiences the problem, what the business needs and which constraints shape a useful outcome.
Choose the focused version that can prove value without turning every possibility into a feature.
Translate the direction into phases, requirements, acceptance criteria and review checkpoints.
Use AI tools to accelerate implementation while keeping product intent, boundaries and decisions explicit.
Inspect the output, test behaviour, investigate bugs and question anything that does not match the requirement.
Use criticism, usability issues and missing requirements to decide what the next iteration needs.
Record decisions, update the evidence and carry each lesson into the next product milestone.
03.1 · Skills
My strongest capabilities sit at the intersection of product thinking, disciplined delivery and practical use of AI tools.
Strengths demonstrated across the three case studies.
Working knowledge used in products, verified through testing and review, and continuing to deepen.
TypeScript · React · Next.js · Python · FastAPI · PostgreSQL · CustomTkinter · Git · automated testing. Tools used across current products through hands-on delivery, testing and review.
03.2 · Transparent workflow
I use AI to accelerate research, implementation and review. I remain responsible for defining the problem, directing the product, setting requirements and acceptance criteria, testing the result and deciding what ships.
My standard is simple: I must be able to explain, evaluate and defend the outcome.
Chapter 04 · My Learning Philosophy
I learn by taking products through the difficult middle: unclear requirements, imperfect implementations, testing, criticism and revision.
Working products expose assumptions that plans alone cannot reveal.
Generated work still needs review, testing, judgement and a clear reason to exist.
Each bug, weak requirement and difficult trade-off should improve the next build.
I’m continuing to deepen my technical experience through every build. I’m looking for a team where I can contribute strong product instincts now while learning alongside experienced engineers, designers and product professionals.
Chapter 05 · Experience
Self-directed product discovery, requirements, feature prioritisation, AI-supported implementation, testing and documentation across three working product initiatives.
Independent work has strengthened communication, documentation, judgement and calm decision-making when circumstances change.
Fast-paced operations developed customer service, teamwork, reliability, delegation and early leadership.
05.1 · Professional experience
CreativeLivingSupports
Working independently with people who have complex support needs has strengthened my communication, documentation, responsibility, situational judgement, de-escalation and my ability to remain calm when circumstances change.
Domino’s Beaudesert
Fast-paced shift operations developed my customer service, teamwork, reliability, time management, task delegation and early leadership experience.
Completed Year 12
IDMT
Chapter 06 · What I’m Looking For
I’m seeking an early-career role in an AI product or software team where I can contribute structured product thinking, testing discipline and practical product delivery using modern AI tools while strengthening my engineering skills alongside experienced professionals.
I bring three working product initiatives, independent learning, structured documentation and a demonstrated habit of testing, reviewing and improving what I build.
I want to contribute to real products while learning professional development practices from experienced engineers, designers and product professionals.
Contact
Based in Jimboomba, Queensland, within the Greater Brisbane Area. I am open to early-career opportunities across AI product, implementation, product operations and innovation teams.
Great software isn’t finished when it works.
It’s finished when people trust it.