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Marek KibałaMK

Marek Kibała

AI Solutions Architect

€550/day
Rzeszów, PL
3-7 years

Average response time: 1 hour

About Marek

AI is a brilliant analyst but an unreliable librarian. Because what good is information without a source?

Language models hold vast general knowledge, but they often fail at precision — producing answers that sound credible yet are untrue. In a business and legal context, that is an unacceptable risk.

As Founder of Kibała Solutions, I work on precision engineering for AI systems. I don't deploy simple chatbots. I design systems that analyze thousands of pages of documentation and extract the key information from them — with full fidelity to the sources.

What I do:
🎯 Verifiable Systems (RAG): I deliver enterprise-grade solutions where AI acts as an auditor — it answers questions based on your files and always points to the specific document and page (e.g. "Source: Master Agreement, p. 5").
⚙️ Process Automation: I turn manual operations into automated workflows — from lead qualification to advanced reporting over official data.
🛡️ Security Foundation (Hound): Data protection is the standard. I build isolated environments that guarantee the confidentiality of the information processed.

I'm not a theorist. I'm an architect of solutions that optimize processes and eliminate the risk of both human and machine error.
  • Polish

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Kibala Solutions
    Founder / AI Solutions Architect
    April 2025 - Today (1 year and 3 months)
    Precision engineering for AI systems, serving document-heavy and regulated organizations (public administration, regulated sector). I design and deliver solutions end-to-end — from problem analysis to a system in production.


    - Verifiable, enterprise-grade systems (RAG / GraphRAG) — answers grounded in your documents, citing the exact source (document + page), with no hallucination.
    - Knowledge engineering: domain modelling (ontologies, faceted classification), knowledge graphs (Neo4j), vector databases (pgvector).

    - Agentic systems and process automation (agentic AI, n8n) — from lead qualification to reporting over operational data.

    - Security and compliance: data isolation and encryption, EU AI Act (human-in-the-loop), GDPR.

    - Flagship project — Hound: a production neurosymbolic system (graph + vector, citation per fact, deterministic completeness control).

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