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My AI Journey

From enterprise programme leadership to practical AI building โ€” each project builds on the previous one and answers a concrete question. These projects exist to validate ideas applied in enterprise transformation.

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  1. 1

    Enterprise Programme Leadership

    13+ years of technology programmes across Europe and Asia. Platforms with 35M+ transactions, 4M+ users, 100+ developers. This is where I learned scale, governance, and measurable delivery.

    Experience
  2. 2

    Language Intelligence

    GermanGuess

    First practical AI build: can an LLM produce grammar exercises โ€” and where does it fail without rule validation? Personal problem, measurable learning curve.

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  3. 3

    Knowledge Layer

    Sponge

    How do unstructured documents become processable? Modular pipeline with FastAPI, Redis, Elasticsearch โ€” enterprise patterns at miniature scale.

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  4. 4

    Executive Intelligence

    Ada

    Personal knowledge locally searchable and AI-queryable. RAG without mandatory cloud โ€” chunking, citations, local models.

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  5. 5

    Operational Intelligence

    Nomad

    Real-time sync for distributed teams. WebSockets, conflict resolution, offline trade-offs โ€” programme experience in a technical experiment.

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  6. 6

    Research Intelligence

    DeepDiver

    Semantic search over technical corpora. Hybrid search, FAISS, Sentence Transformers โ€” research on domain language and explainability.

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  7. 7

    Enterprise AI

    The projects converge: governance, trust, observability, MCP โ€” applied to enterprise AI transformation. Next career phase in Germany.

    MCP Summit insight