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Manuel Maguga DarbinianMM

Manuel Maguga Darbinian

AI & Product Consultant

€ 950/dag
Amsterdam, NL
8-15 jaar

Gemiddelde responstijd: 1 uur

Over Manuel

I turn complex operational problems into AI systems that actually ship. As a consultant andbuilder, I've designed Graph-AI solutions for companies across fintech and retail — reducingmanual workflows from hours to minutes and giving teams access to knowledge they didn't know theyhad. I work best where strategy meets execution.
  • Spaans

    Tweetalig / moedertaal

  • Engels

    Vloeiend

  • Nederlands

    Beperkte professionele capaciteit

Uitsluitend remote
Werkt voornamelijk remote

Werkervaring

  • Boundless Digital
    AI Lead
    PERS & MEDIA
    april 2025 - april 2026 (1 jaar)
    Amsterdam, Nederland
    - Led the end-to-end conception, prototyping, and client deployment of Cabyn.ai, an AI-native SEO analysis and content creation system for a digital marketing agency's client base.
    - Diagnosed the core pain point: traditional SEO workflows consumed 15–30 hours per project in manual research, with clients spending €2,000–€5,000/month on fragmented tooling. Cabyn replaced this with automated, multi-lingual output in minutes.
    - Delivered the platform to enterprise retail clients, enabling scalable 24/7 SEO intelligence without agency dependency.
    - Operated across product, engineering, and client-facing functions with no dedicated PM layer —independently bridging business requirements, technical scoping, and stakeholder communication.
    artificial intelligence Content marketing Social media SEO Agile CRM
  • Freelancing
    AI & Product Consultant
    HIGHTECH
    oktober 2023 - Vandaag (2 jaren en 8 maanden)
    Amsterdam, NH, Netherlands
    - Identified a client operational bottleneck consuming 16+ hours/week in manual work scheduling across multiple locations and contract types; designed and built "Barbara", an AI-powered planning system (Neo4j + GPT-4o) that automated the full scheduling workflow end to end.
    - Created Spiintel, a Graph-AI context infrastructure platform (Neo4j + Anthropic/OpenAI) built to close the technology gap between large enterprises and SMEs, enabling smaller businesses to access enterprise-grade AI at operational scale.
    - Advised clients on AI implementation strategy, graph data modeling, and RAG pipeline architecture; delivered context graph frameworks that transformed unstructured business data into structured, queryable knowledge assets.
    - Authored practitioner-level thought leadership (Medium, Substack) on GraphRAG, hybrid retrieval design, and AI-driven operations — building credibility and inbound visibility in the AI consulting space.
    artificial intelligence Neo4j automation Big Data Knowledge Management
  • Klarna
    AI & Product Consultant
    HIGHTECH
    juni 2023 - april 2024 (10 maanden)
    Amsterdam, Nederland
    - Contributed to the design and development of Klarna's Knowledge Management System — addressing the challenge of institutional knowledge fragmentation across large-scale distributed fintech operations.
    - Built a Graph-AI pipeline that transformed unstructured Slack communications into a structured Neo4j knowledge graph, enabling teams to retrieve historical decisions, topic ownership, and discussion threads through natural language.
    - Implemented a hybrid RAG retrieval architecture combining Neo4j full-text indexing (Apache Lucene) with Cohere's reranker, improving retrieval precision and consistency over vector-only approaches.
    - Managed stakeholders, translating complex AI system design into business-level roadmaps and phased implementation plans.
    Neo4j artificial intelligence Knowledge Management Chatbot AI Automation

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Opleidingen

  • Bachelor Degree
    Universidad Católica de Valencia
    2024
    Bachelor Degree
  • (ES)
    2014
    (ES)

Diploma's

Vaardigheden

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