Independent engineer · Based in the US
I help SaaS founders turn a product idea, an AI use case, or a manual workflow into a system people can actually use.
Architecture, implementation, and launch. One person accountable.
Less distance between the idea and the outcome.
01 / Your starting point
Start with the business problem. We’ll choose the smallest useful solution together.
You have a product idea or an early version. You need someone to turn it into a focused release, with the foundations to keep building.
You see a possible use for AI, but need to know whether it will work reliably and justify its cost. Let’s test the idea before committing to it.
Your team is moving data between tools, processing documents, or repeating the same operational steps. That’s a good place to look for automation.
02 / Ways to work together
You don’t need a finished specification to start a conversation. Bring the problem, the constraints, and what you already know.
GET CLARITY
For a decision you want to get right before investing in a build.
You leave with a technical assessment, the important trade-offs, and an actionable next step.
Discuss the decisionSHIP SOMETHING USEFUL
For a defined product or workflow that needs an engineer to own delivery.
You get working software in agreed milestones, documented decisions, and visibility throughout.
Discuss the buildGET UNSTUCK
For a stalled project, production issue, or inherited system that needs attention.
We start with diagnosis and a prioritized stabilization plan, then tackle the highest-impact work.
Explain what’s stuckA good fit: a founder or small product team that wants direct engineering ownership, practical trade-offs, and a useful release before a bigger roadmap.
03 / How the work happens
Short feedback loops and written decisions keep the work understandable, from the first conversation to production.
We clarify the outcome, current workflow, constraints, and what success needs to look like.
I propose a first milestone, technical approach, deliverables, and commercial terms before work begins.
You see working increments. We use feedback to resolve uncertainty and keep scope intentional.
Deployment, documentation, and monitoring are part of delivery. Ongoing support is agreed explicitly.
04 / The person doing the work
I’m Viktor, an independent software engineer working remotely with founders and teams worldwide.
I connect product decisions with the engineering needed to ship them. That means asking what matters, explaining the trade-offs, and staying responsible for the result through deployment.
I work async-first: clear written updates, visible progress, and decisions you can return to later. If AI isn’t the right tool for the problem, I’ll tell you.
05 / Engineering judgment
A few recurring decisions and how I approach them. These are engineering notes, rather than client case studies.
Start with representative inputs and a baseline. For predictable routing or fixed rules, a deterministic solution can be faster, cheaper, and easier to maintain.
For variable documents or open-ended language, test a model against real examples. Measure useful output, errors, and cost before expanding the system.
A narrow workflow that solves a real problem, plus the foundations that are expensive to retrofit: identity, tenant boundaries, deployment, and observability.
Keep the rest proportionate. A clear boundary and a documented decision are often more useful than another service or an elaborate architecture.
The happy path is only part of the job. Plan for duplicate events, unavailable providers, retries, and inputs that need a person’s judgment.
Make failures visible and recoverable. An automation should reduce the work of operating a business, including when something goes wrong.
06 / Before we start
No. Describe the problem, who needs it solved, and any constraints you know. A short conversation or advisory engagement can turn that into a practical starting point.
They depend on scope, existing systems, and the amount of uncertainty. I propose clear deliverables, milestones, and terms after understanding the work. You approve the scope before implementation begins.
Yes. An existing codebase, integration, or manual process can be the starting point. I first assess what is already there and what needs to change, then recommend a focused path forward.
Delivery includes the agreed documentation and operational handover. Ongoing maintenance, monitoring responsibilities, and further development are discussed explicitly so you know who owns what.
Source code, setup instructions, and the agreed operational handover are part of delivery. We agree ownership, third-party licensing, and access to infrastructure before work begins.
We start with the workflow and test representative examples. If a conventional integration or a few clear rules solve the problem more reliably, that is what I recommend. AI needs to justify its quality, cost, and operational complexity.
Yes. I’m based in the US and work remotely with teams worldwide. Written updates carry the day-to-day work; we agree on useful meeting times and response expectations at the start.
I read it and aim to reply within two business days with questions or a concrete next step. There’s no automatic sales sequence. If the project isn’t a fit, I’ll be direct about it.
07 / Let’s make it real
A product idea, a workflow that takes too long, or a project that needs a fresh pair of eyes. Tell me where you are and where you want to go.
I’ll review your note and aim to reply within two business days with a clear next step.