Founders and product owners
AI Product Discovery
I turn a rough idea into a clear product plan: what to build, what to skip, and how to start safely.
AI Product EngineerPlan → build → launch
BILEUSH
Web products. Built for business.
From the first idea to a working product. I plan, build, and support it — your direct technical partner.
Direct technical ownershipPavel Bileush
Services
What can I help you build?
A product, a smarter workflow, or a better online store. Start where you are.
Founders and small businesses
MVP Build Sprint
I build a focused working product slice that users or your team can actually try.
Small businesses
AI Business Automation
I help reduce repetitive manual work with simple internal tools, automation, and AI where it is useful.
Online store owners and teams
eCommerce Platform Support
I help improve online stores, admin workflows, integrations, speed, and product content processes across legacy and modern stacks.
Owners and agencies
Support Retainer
I provide ongoing technical support for launched products, online stores, internal tools, and automations.
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Slide 1 of 5Process
A clear path to launch.
We define the goal, build what matters, and make it ready for real use.
Clarify
We clarify the business goal and the smallest useful next step.
Scope
You get a clear scope, technical direction, and success criteria.
Build
I build the interface, logic, and integrations for the first release.
Stabilize
Tests, documentation, launch, and support keep the product working.
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Slide 1 of 4Working directly together
One partner. A connected result.
The person who understands your goal also builds the product. Less handoff, more progress.
Your idea
Pavel
Working product
What that means for your project.
One responsible partner
Scope, code, and launch stay with the same person.
Direct communication
Fewer handoffs. Decisions reach the code faster.
AI with review
Faster drafts, with human judgment and quality checks.
Short feedback loops
See working progress and adjust while it is still easy.
A focused budget
Validate the useful part before expanding the scope.
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Slide 1 of 5More about my approach
Typical agency delivery
- Multiple roles between the client and the code.
- Context moves between people, tickets, meetings and handoffs.
- Senior expertise may appear in planning, while execution can be delegated.
- AI tools may still be used, but accountability can be distributed across the chain.
Direct technical ownership
- One accountable person owns discovery, architecture, implementation and delivery.
- Fewer handoffs and less context loss.
- AI agents are used openly as acceleration tools, with senior review and quality gates.
- Testing, launch work, documentation and support stay close to implementation.
Agencies can be the right choice for large enterprise programs or projects that need many parallel specialists. This model is built for focused products where speed, clarity and direct ownership matter more than a large delivery structure.
How I work
- Clear scope before implementation.
- Small deliverable milestones.
- Transparent trade-offs.
- Automated tests where they protect business-critical behavior.
- No fake certainty: risks and unknowns are called out early.
AI with responsibility
AI accelerates. I take responsibility.
Research, code, and tests move faster. Every release gets an engineering review.
Controlled acceleration
Research
options, risks
Draft
code, content
Review
architecture, edge cases
Ship
tests, docs, support
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Slide 1 of 4Human scope decisions
Quality gates before launch
No hidden AI output
Direct technical ownership
Your partner. From idea to release.
You work directly with the person who plans, builds, and supports your product.
ScopeBuildLaunchSupport
Experience before the AI wave
12+ years across CMS, eCommerce, Magento modernization, teaching, and AI products.
My advantage is not one narrow stack. I have seen many stages of the web in production: early CMS builds, high-volume store support, platform migrations, frontend teaching, and newer AI-assisted products built from zero.
- WordPress projects across business sites, catalogs, landing pages, and custom themes
- 50+
- OpenCart projects, store fixes, catalog work, integrations, and eCommerce improvements
- 20+
- years with large Magento eCommerce projects on the DE and NL markets
- 5+
- AI product projects started from zero, from product framing to working implementation
- 4 AI
Platform breadth without platform bias
WordPress, OpenCart, Joomla, Drupal, Magento, WooCommerce, and custom PHP work help me read existing systems quickly. I can support or modernize them without treating legacy choices as the default for new products.
Magento depth in real commerce
My recent background includes 5+ years of feature development and continuous support for large Magento stores in European eCommerce, including 6 Luma to Hyva migrations.
Teaching sharpens communication
2+ years teaching frontend courses trained me to explain complex technical choices clearly. That matters when clients need practical business decisions, not hidden implementation jargon.
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Slide 1 of 3More about my approach
Modern product builds
- Next.js
- React
- TypeScript
- Tailwind CSS
- Node.js
CMS and eCommerce platforms
- WordPress
- WooCommerce
- Magento
- Hyva
- OpenCart
- Drupal
- Joomla
Magento modernization
- Luma to Hyva
- Feature development
- Store support
- Performance fixes
- EU eCommerce
AI-assisted work
- AI products from zero
- AI agents
- Content workflows
- Document processing
- Tests
This background is useful because it combines production reality with modern product judgment: I know how older platforms fail, when they still make business sense, and when a leaner stack is the better path.
Stack
Tools I build with.
- Next.js
- React
- TypeScript
- Tailwind CSS
- Zod
- Vitest
- Playwright
- Node.js
- AI agents
Build stack
These are the tools I prefer for new work. WordPress, Magento, OpenCart, Drupal, Joomla, and PHP remain platform experience for audits, support, and migrations, not the modern default.