About
Pavel Duglas - AI Automation & MVP Architect
I create AI systems, MVPs, SaaS services, parsers and automations from idea to working solution. I help entrepreneurs and companies turn manual processes and raw ideas into clear digital systems with interfaces, databases, automation, integrations, personal accounts, AI logic and scalable architecture.
- Building since
- 2017
- Systems shipped
- 30+
- Students on Udemy
- 722
- Workflow
- AI-first
My Path
My background is engineering discipline, maritime work, internet entrepreneurship, cryptocurrency products, automated systems, bots, parsers, RPA and teaching automation.
Since 2017, I have been creating digital products and automations: from simple scripts to complex systems, marketplaces, dashboards, bots and services. I moved from crypto automation and web bots to modern AI-first products, where artificial intelligence helps design, develop and launch working solutions faster.
Today I use this experience to help businesses test hypotheses faster, automate routine work and launch MVPs in weeks.
Team
I work with my brother
Roman Duglas
Assistant
My brother and assistant. He works with me on projects.
Why Work With Me
I have launched products myself, so I know which features a first version can skip
You get a partner who thinks like a founder, designs like an architect and ships like an engineer.
Product-minded builder
I start from the business problem and where the value sits, then pick the stack that fits it.
System architect
Interfaces, databases, automation and AI designed as one coherent system.
AI-first developer
AI accelerates every stage: design, development, content and operations.
Automation expert
Years of RPA, parsers and bots - I know what breaks and how to build it reliably.
Fast MVP creator
1 to 2 weeks to a version real users can try and you can decide on.
Founder-style thinker
I have built my own products. I treat your budget and time like my own.
What Makes Me Different
Before a single line of code, I ask:
- Why does the product exist?
- What business problem does it solve?
- Where is the value?
- What can be simplified?
- How do we get to a working result faster?
- How do we make the system scalable?
My Principle
- 1 Logic and value first.
- 2 Then interface and architecture.
- 3 Then automation, AI and scaling.
A good product is a system that solves a problem, saves time, collects data, supports decisions and creates measurable value.
Certificates
Verified learning
I keep learning, and new certificates land here as I complete courses.
Where else you can check me
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Other platforms
Have an idea? Let’s turn it into a working product.
Get a clear architecture, a working MVP and a system you can test, sell and scale.