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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Quickdraw

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Sergio-CVM00/README.md
Sergio - Full Stack Software Engineer and Applied AI Engineer

Software engineering. Applied AI.

I'm Sergio Cabeza de Vaca, an AI Engineer at Cactus based in Sevilla. I work across software development, retrieval systems, local inference and agent workflows.

Portfolio and case studies · Contact

Systems I work on

Area Focus Public example
Retrieval Hybrid search, citations and document ingestion Synapse AI
Local AI Local inference and document search Local Policy RAG
Machine learning Histopathology image classification CNN-PANDA
Agent workflows Planning skills and grounded browser actions dev-planning · jev-browser-axi

Engineering toolkit

Languages & interfaces: Python, TypeScript, React, FastAPI
Retrieval & agents: LangGraph, LangChain, ChromaDB, Supabase / pgvector
Inference & ML: Ollama, TensorFlow

More public work

See the work in context

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  1. synapse-ai synapse-ai Public

    Agentic RAG platform with reflective retrieval, hybrid search, citations, and multi-source ingestion.

    Python

  2. contextual-rag-local contextual-rag-local Public

    Private local contextual RAG with Ollama, hybrid retrieval, ChromaDB, and Streamlit.

    Python

  3. local-policy-rag local-policy-rag Public

    CPU-friendly local enterprise policy search with Ollama, ChromaDB, and Streamlit.

    Python

  4. CNN-PANDA CNN-PANDA Public

    Histopathology image-classification pipeline for prostate cancer grade assessment using the PANDA dataset.

    Python 1

  5. dev-planning dev-planning Public

    Agent skills for full-stack planning: choose the areas, modules, sequence, and depth needed before implementation.

    Python

  6. jev-browser-axi jev-browser-axi Public

    Bounded Jev decisions over grounded chrome-devtools-axi actions

    TypeScript