# about

I'm Victor Golovin, an AI enthusiast and computational designer building software, tools, and automated workflows for architecture, engineering, and tensile fabric structures.

My core expertise is parametric design and computational analysis for architectural and engineering processes. A concrete example is a full stadium roof and facade system: instead of manually redrawing every option, I define the design logic once - bowl geometry, roof edge, mast and grid rules, membrane bays, facade rhythm, support points, material constraints, analysis inputs, patterning, quantities, and drawing outputs - then let the connected models update together when the driving parameters change.

That is the kind of work I mean by computation: moving design decisions into systems that can generate, check, compare, and document complex variants without losing control of the architecture.

My background is tensile fabric structure design: membrane roofs, lightweight enclosures, detail-heavy coordination, and the hard translation of a strong concept into a buildable system.

Now I am turning that background into digital services and software for the tensile fabric structures industry. The path is deliberately hands-on: build small tools, ship them, test features in development and production, learn through real workflows, and turn the useful parts into products.

I work AI-native across different models, coding agents, automation harnesses, prompt systems, scraping flows, databases, image and media tools, and chat interfaces. I care less about demos and more about process improvements that save time, preserve knowledge, and make specialist work easier to reuse.

The first focus is my own industry, because I know its constraints firsthand. Over time I plan to expand that work into broader software development: useful interfaces, internal tools, business-process automation, content systems, and practical AI-assisted products.

More current experiments live in [loading...](#loading), where I keep the things I am building before they are ready for a full writeup.

## background

- Stadium-scale parametric design systems for architecture, engineering, roofs, facades, and membrane structures.
- Tensile fabric structure design, roof and facade systems, architectural membranes, and project coordination.
- AI-assisted software creation, process automation, prompt systems, and tool testing.

## interests

- Software for membrane structure design, visualization, documentation, and delivery.
- AI tools that support real work instead of producing disposable demos.
- Databases, scraping, media generation, chat UX, agents, and automation ecosystems.

## next steps

Start with tools for tensile fabric structures, because the problems are specific and familiar. Use those projects to gain production experience, test what actually helps, and build a practical software portfolio. Then widen the scope into general software development and digital services for other fields.