Intelligence.
The forest and the trees.
The reasoning layer. Wisdom that is deep, rooted, and patient — senior engineering judgment, and machine learning that runs on the device in your hand instead of someone else's server.
Forest green means wisdom — not eco.
We see technology and nature as one continuous thing. Everything humans make is itself natural — synthetic beings included. The robot in our mark is not a machine set against a tree; it is a creature that belongs under it, gazing at a star.
Knowledge takes root. Intelligence, for us, is not a demo that dazzles once — it is judgment that compounds: the patient, rooted kind that knows the difference between a system that runs and a system that lasts. Technology here enhances life. It is not a drawer of gadgets.
The intelligence layer, in practice.
Inference where the data lives
Models that run on the phone, not in a data center you have to trust. No image, no signal, no sensitive record leaves the device to be classified. Privacy is the architecture, not a checkbox bolted on at the end.
Reasoning about your system
A senior read of one thing — a codebase, an auth surface, a cloud setup, an architecture decision — with a prioritized findings register. The kind of second opinion that catches the failure mode before it finds you.
Tests written first
Every fix ships with characterization tests written first, so the change is provably behavior-preserving — the same tests pass before and after. Not a rewrite you have to trust blindly.
On-device intelligence, live in the App Store.
These are the artifacts of a two-and-a-half-year solo engineering run at Principal scope. Both run their inference on the device — the clearest proof of the forest philosophy.
SkinVault
A private photo vault for sensitive skin documentation. On-device NSFW inference via ONNX Runtime — no image ever leaves the device for classification. Privacy is the product. Paying subscribers on the App Store.
Ghost Hunter
A paranormal detection app with a genuine cult following. All sensor inference runs on-device; models are served from Cloudflare R2 and updated without App Store releases. We decommissioned a dedicated inference backend and moved entirely to on-device compute.
Intelligence needs a place to flow and a spark to move it.
The forest is where reasoning takes root. Follow the water to the data layer, or the star to the automation core.