MK Mykola Kuchuman Vienna, backend, automation, AI
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Case studies anchored in real systems

The strongest signal here is not glossy design. It is system shape, technical depth, workflow compression and honest operating constraints.

Case study

Austria Business Data Platform

A FastAPI-based business intelligence pipeline for Austria-focused market mapping, contact workflows and export-ready datasets.

  • Vienna preset documented for 50K+ business records
  • Austria-wide preset planned for 100K+ business records
  • Python
  • FastAPI
  • Pydantic
  • Admin workflows
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Case study

Creator Discovery & Qualification Pipeline

A private multi-platform pipeline for influencer discovery, AI-assisted evaluation and outreach-ready data.

  • Seven-step processing pipeline across multiple content platforms
  • Contact extraction and AI-assisted filtering built into one flow
  • Python
  • Streamlit
  • Flask
  • Supabase
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Case study

Subscription and Payments Backend

A public Django REST project that combines business logic, borrowing workflows, Stripe billing and task automation.

  • Stripe integrated for rental and fine payments
  • Borrowing workflow and reminder automation in one system
  • Python
  • Django
  • Django REST Framework
  • Stripe
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