Marek Suchodolski
I combine product thinking, full-stack engineering, automation, GIS, and data. I own the whole path: architecture, interface, integrations, and launch.
I do not stop at prototypes or presentations. I show public products, complete user flows, and systems ready for a technical walkthrough.
Start a project
You do not need to know the technology. Choose the type of problem and I will turn it into a process, architecture, and first version to validate.
Best start
In one call we map the process, data, risks, and where AI makes sense. Then I build a small working prototype you can show to your team.
AI Workflow Sprint
This is the easiest first step for a client: no heavy contract, no slides for the sake of slides. We take one real problem and end with a process map, technical decision, and next move.
Why this works
The strongest AI deployments start with a well-mapped process. That is why I show live products, workflows, and proof instead of claims alone.
How we can start
No heavy contract to start. First we decide whether the idea makes sense, then prototype, then ship to production.
Best when you have an idea but do not know where to start.
A working prototype you can click, show, and evaluate.
A fuller deployment: dashboard, integrations, domain, monitoring, and iteration.
Proof first
Nie pokazuję tu wszystkich 48 pozycji naraz. Najpierw są projekty, które najlepiej pokazują zakres: AI, automatyzację, GIS, dane, wdrożenie i myślenie produktowe.
A live offer system showing AI agents, workflows, AI Weekly, and the path from a client problem to deployment.
How it works
Events, places, routes, and local answers in one product for residents.
How it works
Commerce, community updates, and personalized product discovery in one system.
How it works
See it without a presentation
15 publicznych wdrożeń zostało sprawdzonych przed publikacją. Kliknij i zobacz realny produkt zamiast deklaracji.
Expertise
Frontend is part of the work, but the portfolio also covers data, workflows, integrations, domains, deployments, and product decisions.
Interfaces and workflows for agents, assistants, automation, content generation, and operational decision support.
React, Next.js or Vite, databases, authentication, payments, admin panels, APIs, and deployments.
Map-led products, location data, historical datasets, local search, filtering, and information design.
Lead-generating websites, city platforms, service directories, and repeatable launch models.
Practical training in AI, automation, digital tools, and prototyping for companies and teams.
Assessment of an idea, process, or existing system, followed by a concrete plan for improvement and deployment.
I prefer open technologies, clear interfaces, and solutions that avoid locking a product into one platform.
Vercel, Docker, databases, DNS, monitoring, and automated delivery from staging to production.
Approach
I first understand the workflow and data, then build the smallest useful version before adding automation, UI refinement, and scale.
What should disappear from daily work, who uses the product, and how we know it genuinely helps.
Data sources, states, exceptions, permissions, AI/API costs, and the points where automation makes sense.
A public URL, admin tools, basic risk monitoring, and a decision to grow, sell, merge, or pause the product.
Case studies
Each case shows the real user flow, key features, my responsibilities, and the technology working behind the scenes.
A live offer system showing AI agents, workflows, AI Weekly, and the path from a client problem to deployment.
User flow
Events, places, routes, and local answers in one product for residents.
User flow
Commerce, community updates, and personalized product discovery in one system.
User flow
Value for the team
The greatest value is not a single framework, but the ability to turn an unclear idea into a product that can be launched, tested, and developed.
I clarify the problem, user, data, and success criteria. I cut features that do not help validate the product.
I build the interface, API, data model, integrations, and operations panel. I choose the stack for the job, not the other way around.
I configure the domain, environment, deployment, and basic observability. The team gets a working URL, not a folder of code.
Project range
For those who want to go deeper: the complete project range, filterable by technology, category, and status.
| Name | Category | Technologies | Status | Afterrtfolio role | Live version | Code |
|---|
Local product network
The network demonstrates a repeatable product model that can launch city by city, not just a collection of individual screens.
zapytajostrow.pl
zapytajkrotoszyn.pl
zapytajpleszew.pl
zapytajwrzesnia.pl
zapytajwlkp.pl
zapytajsrem.pl
zapytajpoznan.pl
zapytajleszno.pl
zapytajkalisz.pl
zapytajjarocin.pl
zapytajgostyn.pl
Common objections
You do not need a finished specification. A real problem, workflow example, or idea that needs structure is enough.
That is where we start. First I map the process, data, exceptions, and risks. Only then do we decide whether to build an agent, automation, dashboard, or simply a better workflow.
That is why I offer a 48h sprint or prototype. Small scope, quick decision, clear next steps. If the topic does not make sense, it is better to learn that early.
Yes. The portfolio is based on public domains and case studies. On a call I can walk through the product, architecture, user flow, and technical decisions.
One sentence about the industry, one painful process, an example of data or documents, and whether you want a sprint, prototype, deployment, or AI training for the team.
Let's talk
Tell me about the problem. In the first conversation, we will cover risks, a possible architecture, and the smallest version worth building.
I am strongest in AI products, operational automation, full-stack applications, GIS tools, and data-driven systems.
During the conversation, I will show the code, architecture, and operation of a selected project. No slides standing in for a product.
Briefly describe the product, process, or team you want to strengthen. I will respond directly.