About · Who will work on your project

I build software by combining product thinking with engineering ownership.

If you bring me a project, you work with me directly. I read the code, make the technical decisions, write or review every change and answer your messages. There is no one in between.

I'm a product-minded software engineer with 7+ years of hands-on development experience. My background includes backend systems, APIs, web applications, payment flows, authentication, integrations, internal tools and production troubleshooting.

Over time I became less interested in simply implementing isolated tasks and more interested in understanding the entire product: what problem it solves, how the system should be structured, and what is required to make it reliable in production.

Today I build my own SaaS products, publish open-source tools and help companies create or stabilize software systems.

Product decisions, architecture, code review and production quality stay with me. AI agents increase how fast that work reaches production.

7+ years of engineering · Products I own and ship · Open source you can read

Roman Golovanov, product engineer

Professional evolution

How I got to product engineering

Not a career timeline with logos on it. Each of these shifts moved the same line in one direction: from being handed a solution to implement, to deciding which solution is the right one. The phases below are how it happened.

The through-line is narrow enough to state in one sentence: I did not stop being an engineer, I stopped treating the requested solution as the definition of the problem. The questions I used to raise from outside the decision (why build it this way, what happens in this case, this will not actually cover the problem) are the job now rather than an interruption to it.

How I work with AI

AI agents are a development team. I am still the engineer.

The working model as it actually runs, including where it does not help.

I own

Product and architecture

What the system is for, where its boundaries sit, what it will not do, how the data is modelled and how it fails. These decisions are not delegated, because they are the ones that are expensive to reverse.

Agents do

Implementation at volume

Inside a defined boundary, AI agents write code, tests and migrations faster than I can alone. That is a real increase in capacity, and it is the reason a single engineer can now ship a system that used to require several.

I own

Review and production quality

Nothing reaches production without my review. Generated code is confident, fluent and indifferent to whether it is correct, so the review is not a formality, it is where the engineering happens.

AI increases my production capacity. It does not replace engineering ownership.

Roman Golovanov

Links

The code is the most direct answer to most questions about how I work.

Have something that needs fixing, automating or building?

Tell me what the situation is: software that stalled, a process that runs on manual work, or a product to build. Within one working day I'll tell you whether I'm the right person for it.

Hiring for a senior or founding role? Here is what I'm looking for.