PORTFOLIO · SELECTED WORK
Two decades of full-stack product work — from consumer apps running on millions of screens to the flagship platforms Sautner Studio builds and owns end to end. A few of them are below.
APP WORK
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FLAGSHIP · SAUTNER STUDIO
Krill is Sautner Studio's flagship product: a decentralized, offline-first control system for Raspberry Pi and Linux. Everything is a node — sensors, timers, calculations, logic gates, cameras, webhooks, over 35 types — wired into a live swarm that reacts in real time. No cloud account. No subscriptions. No single point of failure. Servers discover each other on the network and self-assemble into a peer-to-peer mesh you watch in the app as data flows and alerts fire.
Pure Kotlin Multiplatform with a Ktor server backend. Business logic lives once in commonMain and compiles native to Android, iOS, desktop, web and server. No cross-platform shims, no framework lock-in — the whole stack is Kotlin, all the way down.
Every commit rides a fully automated pipeline: flake-free virtual-time coroutine tests, Roborazzi screenshot regression, then Gradle build, jpackage / AAB / .deb packaging, GPG-signed Maven Central publish, and delivery over GitHub Actions to signed release — hands off from push to production.
A multi-agent fleet reviews code and hunts bugs on every change — adversarial confirm/refute gates that de-duplicate findings and open PRs before a human ever sees them, plus nightly architectural analysis. No vibe. Pure artisan Kotlin.
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AUTHORITY · OPEN-SOURCE HERITAGE
Ground-breaking and ahead of its time: an open-source, cloud-to-edge platform for IoT data logging and rule execution, architected on Google App Engine at the absolute dawn of cloud-based machine-to-machine computing. Nimbits paired big-data time-series logging with a real-time trigger engine years before "IoT platform" was a category.
Springer Nature · 2019
Classified in Semantic Middleware Architectures for IoT as a benchmark open-source PaaS, alongside enterprise frameworks like Apache Lambda and Kaa.
Wiley Online Library · 2018
Evaluated in Software: Practice and Experience for pioneering middleware integrating IoT streams with High-Performance Computing (HPC).
ScienceDirect / Elsevier · 2015
Analyzed in Procedia Computer Science for big-data time-series logging, real-time trigger engines, and stream-processing architecture.
EDUCATIONAL IMPACT
The architecture, API documentation, and implementation guides designed for Nimbits were so foundational to early IoT education that they were compiled and published as the primary instructional text in the 2012 book Building Internet of Things with the Arduino. The platform became an industry benchmark used worldwide to teach students cloud-to-edge sensor logging.
Timestamped at the dawn of cloud-based M2M logging on Google App Engine:
View the original open architecture via the Internet Archive (2011 snapshot)YOUR TURN
Tell us what you're building and we'll come back with a rough scope, cost, and a plan to ship it on every platform.
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