Software Architect · B2B · Poznan

Your IT is eating budget and not delivering?

I automate processes, build systems, stabilize infrastructure. Software Architect · B2B · Poznan.

Availability: April 2026 Quote: <48h Poznan, Poland
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Results, not promises

Payment bug fixed in 3 days

Company recovered subscription revenue over a single weekend.

Technical details

Studio Manager: Stripe webhook desync, PostgreSQL race condition, hotfix + monitoring.

Video license costs −90%

Replaced enterprise video platform with a custom solution without losing DRM.

Technical details

Custom player: Shaka Player, Widevine/PlayReady, HLS/DASH, FFmpeg pipeline.

AI consultation system from scratch

AI qualifies leads 24/7, Artur gets a ready brief with a quote.

Technical details

Claude Haiku triage + Sonnet conversation, Supabase, Stripe, Resend, Vercel SSR.

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Artur Mrowicki

About me

Mathematician from UAM. I stabilize abandoned systems, design architecture from scratch, and eliminate tech debt. I work where standard approaches have failed.

TypeScript React Astro Node.js Python PostgreSQL Supabase Docker Next.js Tailwind CSS
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Infrastructure under control

Payments, auth, migrations, legacy — I stabilize infrastructure that's bleeding money.

Quote in 48h

Scope of work and cost estimate within two business days. Full transparency — repo access, progress reports.

Full accountability

You talk to the person who writes the code and makes architectural decisions. Zero middlemen, zero lost context.

5 years in IT

From full-stack development to system architecture. Backend, frontend, DevOps, AI — one point of contact.

FinTech EdTech SaaS Media E-commerce Video/DRM
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What does a diagnostic look like?

AI gathers technical context immediately — Artur gets a ready brief.

AI Diagnostic · active
We have 3 people manually processing invoices and classifying customer tickets every day. We want to automate this.
I understand — repetitive processes eating up team time. A few questions: how many invoices per day and in what format? What systems do you use for tickets — email, CRM, helpdesk?
About 80-100 invoices daily, PDFs via email. Tickets come through a website form into a shared inbox.
At this scale, an LLM pipeline with PDF data extraction + automatic ticket classification will deliver real savings — estimated 5-8h daily. Artur will prepare a spec and quote for the automation.
Free diagnostic · 6 exchanges Describe your problem
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Is your system bleeding money?

Start diagnostics Prefer to write directly?