I turn ideas into working products, fast
From the first idea to production: product decisions, design, code and the AI inside it. With AI in every step, my teams release monthly, iterate weekly and build for a fifth of the usual cost.
My name is Igor. For 24 years I've built software products from the first idea to scale: platforms, CRMs, search and AI. Today AI is part of every step, so a small team ships what used to take a department. That's how an idea becomes a product people actually use.
As a full-time Product Builder on your team or on a project: I own the result from the idea to the numbers after launch, and I bring AI into the product and into the way it's built.
I take an idea all the way: the first customer conversations, a prototype in days, an MVP in weeks, then launch, docs and support.
Agents and assistants that take routine off your team, with the same rights and rules as your people, and a log of everything they do.
I set up an AI-native process for your team: rules, specs and checks the AI follows, so speed goes up and quality doesn't drop.
No long chain of handoffs. One owner from the problem to the numbers after launch, and AI doing the heavy lifting at each step, under rules and checks that keep the quality up.
Users, data and competitors first. We agree on one metric that says the product works.
Where AI helpsSums up interviews, tickets and reviews; scans the market
What you getA one-page brief with a success metric
A clickable or working version real users can try, before anyone writes a long spec.
Where AI helpsGenerates screens and code from the brief and the design rules
What you getSomething to test with users this week
Architecture, data, code and the AI features, built to run for years, not just for the demo.
Where AI helpsWrites most of the code under the rules I set, with tests and reviews
What you getProduction code, released monthly
User rights, data separation, logs and guardrails, so the product passes a serious security review.
Where AI helpsEvals for every AI feature; checks before each release
What you getA product you can put in front of customers
Website, docs, help center and onboarding ship with the product, then we measure and iterate weekly.
Where AI helpsDrafts pages and docs; a support assistant answers from them
What you getUsers, data and a clear next step
Real build times
I design end-to-end AI systems: agent workflows and tool use (MCP), retrieval over company data (RAG and vector search), prompt and model routing across providers, and guardrails for security and tenant isolation. Evaluation, cost and observability are planned from day one, so AI features survive contact with real users.
I build retrieval-augmented generation (RAG) systems that ground LLM answers in your company's own data, so answers are accurate, up to date and traceable to their source.
I connect AI models to real business systems through the Model Context Protocol (MCP), so any LLM agent can safely read and act on live data.
I design autonomous agents that do real work, not just chat: they run on schedules, use tools and make decisions across multi-step workflows.
I deploy and run AI models on your own infrastructure for companies that can't send data to public clouds.
The best AI fails if people don't trust it or can't use it. I design the interfaces for working with AI: calm, clear and built into real workflows, not bolted on as a chat window.
Hi Anna,
Thank you for your patience. Your order ships on Friday, and we've added free express delivery.
Platforms I designed and led, from cloud and enterprise foundations to autonomous AI agents working with live business data. Pick a project to see the story.
Businesses lose hours every day on routine: follow-ups, task updates, reports. They needed AI that works inside their CRM, safely, for many client companies at once.
AI moved from single features to agents working autonomously in production: safe, auditable and separated per client.
Millions of animal records across countries, changing all the time. People had to find the right animal fast, even from typos, partial names or another language.
Fast, accurate search over 10M+ always-fresh records, on a platform that runs reliably across countries.
Launch a CRM for the bank's business clients inside the bank's own ecosystem, with bank-level security, integration and compliance.
A fully integrated CRM that meets bank-level requirements and was ready for strategic moves, including M&A.
Move a desktop business product to the cloud without losing customers, and make it ready for investors and growth.
A cloud platform ready for AI, audit and acquisition, backed by a $2M+ investment.
A simplified view of one AI system I designed: models, agents and tools working on live business data, with security and client data separation built into every layer.
One agent run, step by step
Search for the largest pet health and insurance platform. Data from MS SQL flows into Azure AI Search through events, so more than 10 million records are always fresh, and smart text analysis finds the right animal among millions, even from imperfect queries.
One record, from database to search results
Good AI architecture only matters if a team can deliver it. For 24 years I've built and led engineering teams, owned technical direction, and taken products from first idea to production, investment and acquisition.
I hire, grow and lead engineering teams that deliver consistently, with clear goals and real ownership.
I own the technical direction: I choose the stack, set engineering standards and make the hard trade-offs.
I ship MVPs quickly, measure the results and scale what works, keeping projects on track from start to finish.
I connect technology to business outcomes and explain complex systems in terms leadership and investors understand.
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