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Silvia CueSC

Silvia Cue

AI & Python Developer | RAG · Google Cloud

€150/day
Navia, ES
0-2 years

Average response time: 12 hours

About Silvia

RAG-focused AI Developer helping organizations turn large document collections into usable knowledge.
I work especially with small institutions to automate document analysis and intelligent search using RAG pipelines and AI agents.

My solutions combine Python, multimodal AI, and agent-based RAG workflows that are efficient, scalable, and easy to maintain.
I aim to deliver practical AI that produces clear and trustworthy results.
  • French

    Native or bilingual

  • Spanish

    Native or bilingual

  • English

    Fluent

  • Italian

    Conversational

Remote only
Primarily works remotely

Experience

  • Independent Professional
    AI & Python Developer | RAG Google Cloud
    November 2025 - Today (7 months)
    ● Developed a multimodal RAG system using Python and FastAPI, integrating semantic retrieval with FAISS, embeddings, and modular agents.
    ● Built ingestion pipelines for text and multimodal content using Vertex AI / Gemini.
    ● Designed the complete intelligent workflow — intent classification, question rewriting, retrieval, and answer generation — using LangGraph.
    ● Implemented secure integration with Google Cloud through service accounts, IAM policies, and Secret Manager.
    LLM Inglés Francés RAG Generative AI
  • Idearium.eu
    AI Engineer
    January 2025 - November 2025 (10 months)
    ● Development of an automated system for extracting urban planning data from scanned PDFs using multimodal models.
    ● Implementation of RAG (Retrieval-Augmented Generation) to generate structured outputs in JSON or Excel.
    ● Configuration of storage buckets, API key management, and cost monitoring setup in Google Cloud.
    ● Development of a RAG (Retrieval-Augmented Generation) system with embedding-based retrieval and AI for querying extracted information.
    ● Programming tools: Python, Google Cloud, Colab, GitHub, Hugging Face, FastAPI, FAISS.
    AI Agents RAG multimodal FastAPI Google cloud
  • Zelenza
    AI Developer
    September 2024 - December 2024 (3 months)
    ● Data preparation and processing for the implementation of generative AI APIs, with data adaptation for precise instructions.
    ● Testing and validation of models in Azure Studio and Vertex (Google Cloud).
    ● Programming tools: Python, Colab, Jupyter, Git, Visual Studio Code.
    Generative AI multimodal Azure AI Google cloud LLM

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Education

  • Specialization in Artificial Intelligence
    Tokio New Technology School
    2024
    Specialization in Artificial Intelligence
  • Classify Images with TensorFlow on Google Cloud
    Google Cloud Skills Boost
    2024

Skill set

Categories