A full-cycle engineering studio: software, infrastructure, cybersec, ML/data and system design. We work where “building to spec” is only half the job — a project must be carried into production and kept alive.
Projects that run in production: in stores, factories, schools and science. We design, launch and support every one of them ourselves.
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We designed and built the UI and software for self-service scales and checkouts for one of the country's largest retail chains — our product now runs in its stores. Weighing, label printing, a product catalog. And all of it keeps running even if the store loses internet.
We built a production accounting system for a manufacturing plant — and it now runs in industrial operation. It tracks processes and materials and became the foundation for the plant’s further automation.
Together with a major publishing house we are building a preparation platform for the CT and CE national exams. A neural network checks tasks, explains mistakes and adapts the program to each student — instead of one workbook for everyone.
For a research organization we built a full 3D digital model of the country: terrain, roads, settlements and objects at true scale — with smooth rotation and zoom, right in the browser.
The engineering domain and the result come first; technologies are the second layer. The tracks never work in isolation — around every task they connect into one system.
Web interfaces, backend services, REST APIs and databases. Internal systems and service-to-service integrations.
React · Next.js · .NET · Java · Python · Rust · SQL
Desktop applications, operator interfaces and mobile clients for our own backends — a single layer over hardware and services.
.NET · WPF · Avalonia UI · Android / iOS
Microcontrollers, embedded software, serial and network protocols, hardware integration and low-level tooling.
C · C++ · Arduino / ATmega · Serial · TCP
Ethical hacking and secure development: penetration tests, code and infrastructure audits, OPSEC — we find vulnerabilities before attackers do.
OWASP · pentest · hardening · OPSEC
Eight tracks working as one team — from the first interview to a production server. The studio’s core: we design, build and maintain the systems ourselves.
The full loop around the model: data, training, quality evaluation, pipelines, inference and service wrappers — not just launching a ready-made model.
tools — matched to the task and the data
Linux servers, Docker, CI/CD, reverse proxies, VPN and environment configuration — up to the project’s production infrastructure.
Linux · Docker / Compose · CI/CD · Reverse proxy · VPN
Interviews, requirements, specs, MVP scoping, architecture, API design, ERDs and documentation — before the first line of code.
Specs · architecture · ERD · BPMN / DMN
Integrations and legacy systems, hardware emulation, unit / integration / UI tests, engineering scripts and process automation.
unit · integration · UI / smoke · tooling
You don't need to know the stack, the architecture, or have a ready-made technical spec in advance. It is enough to understand the problem that needs solving — we take care of the rest.
We do not offload technical decisions onto the client.
A normal starting point — a task, a problem or a rough idea. A ready-made technical spec is not required.
Interviews, studying the current process, constraints — and understanding the project’s real goal.
Structured requirements, scenarios, constraints, the technical spec and an agreed scope.
Architecture, data model, API boundaries, technology choices, the MVP scope and an implementation plan.
Frontend, backend, desktop / mobile / embedded, integrations, code review and iterative demos of the result.
Unit, integration, end-to-end / UI, hardware emulation and testing of real scenarios.
Domain, servers, Docker, CI/CD, environments, deployment and operations documentation.
Fixes, evolution, new features and post-launch maintenance — in an agreed format.
A small team of engineers with distinct areas of responsibility — from desktop and embedded to ML and interfaces. No hierarchy: the task is led by whoever understands it best.
.NETC#desktopsystems analysis
backenddatabasesdata engineeringembedded
machine learningdata analysisoptimization
frontendUI/UXinterface design
pythonAPIbackend architectureDevOps
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tell us what you can dowe'll match a task
Practical engineering streams run by RedKernel Studio engineers — with real project practice and the opportunity to continue working on the ecosystem's projects.
Tell us what needs to be built or automated. No formal spec required for the first call.
~/brief→ok — brief received
We will reply to within one business day. Need it faster — telegram @pavlutmatvey
// telegram is the fastest · // joining the team — also this way: tell us what you can do