
3D packaging platform
Obalero
An online platform for packaging design and approval with a 3D preview.
Service — digital product engineering
Platforms, applications, internal tools and AI-enabled products for work that has moved beyond a marketing website.
3 steps · about a minute · I answer within one business day
We define the smallest useful version, prove the risky part and lead the product through architecture, interface and production. The studio can own delivery or audit the direction before an expensive build commits to it.
Scope
Accounts, editors, payments, product data and interfaces people return to because they do real work there.
Interfaces around the systems a team already uses, replacing repeated manual work rather than adding another disconnected dashboard.
Search, generation, analysis or automation where the output has an owner, a review step and a measurable job.
Architecture, prototypes and an honest review of scope, risk and delivery before or during a larger build.
References

3D packaging platform
An online platform for packaging design and approval with a 3D preview.

Medical AR
Two mobile AR applications for medical product presentations.
How we work
Users, decisions, data, dependencies and the result the product has to create.
The technical or product assumption most likely to break the plan is tested first.
The smallest production version that can be used, measured and learned from.
New features follow real use, business priority and evidence — not the length of the original wish list.
FAQ
Frontend and product interface are the deepest strengths, but the work regularly includes APIs, authentication, payments, real-time communication, automation and external systems. The architecture is shaped around the actual product.
Yes. I can own a defined product area, lead the technical direction or deliver a focused part while working with an existing design, backend or agency team.
Only where it improves a real step in the workflow. The data, review, failure mode and person responsible for the output are defined before an AI feature is treated as a product.
Yes. You start with a proposed scope and an assessment of the main technical risk. Depending on the project, we agree on a technical audit, architecture review or working prototype.
The product is measured in use, priorities are updated and the next scope is agreed from evidence. Ongoing development can stay with me or be handed into your team as agreed up front.
Describe what people do today, where it breaks and what the first useful version should make possible.
3 steps · about a minute · I answer within one business day