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About Jose

What value do I bring to your organization?
Sovereign and Local (Air-Gapped) AI: Deployment of language models on private infrastructure, achieving a 100% reduction in API costs and guaranteeing absolute privacy.
Compliance and Governance: Technical implementation of the EU AI Act, ensuring your systems are ethical, transparent, and comply with the European legal framework (XAI).
Autonomous Agent Ecosystems: Design of agentic systems that reason and act (Chain-of-Thought, ReAct) integrating computer vision (OpenCV) for total workflow automation.
Big Data & MLOps: Orchestration of scalable ETL/ELT pipelines in hybrid environments (AWS/Azure/On-Premise) to feed inference engines with truthful data (RAG).
Featured Projects:
Enterprise Mirror-Agent: Autonomous communication management system with UI control via ADB and real-time sentiment analysis.
Sentiment Intelligence Engine: Massive NLP processing to transform +28,000 records into executive insights using Power BI.
Content-as-a-Code: Comprehensive automation of video channels using Oracle Cloud infrastructure and programmatic rendering with FFmpeg.
Core Technology Stack:
AI & Data: Python, LangChain, Llama 3, OpenAI, PostgreSQL, Power BI.
Infrastructure: Docker, Kubernetes (K8s), Azure AI Engineer Associate.
Automation: n8n, OpenCV, Linux, ADB.
If you're looking to take your company to the next level of AI with the security of a local environment and compliance with European regulations, let's talk. 🏗️
  • Spanish

    Native or bilingual

  • Portuguese

    Basic

Remote only
Primarily works remotely

Experience

  • Proyecto Propio
    Local AI Architecture and Critical Infrastructure
    January 2022 - February 2025 (3 years and 1 month)
    Madrid, Spain
    Local AI & Big Data Orchestration: Design of microservice architectures orchestrated with Kubernetes (K8s) and Docker, optimizing massive data ingestion in high-security (Air-Gapped) environments. Deployment of quantized language models on local infrastructure, achieving a 100% reduction in API costs and external latency. Automation of the data lifecycle: from structured ingestion to strategic visualization in Business Intelligence. Implementation of Explainable AI (XAI) protocols and technical governance under the EU AI Act framework.
    Business Intelligence and Data Analytics Strategy
    Explainable AI (XAI) and Strategic Data Storytelling Sovereign and "Air-Gapped" AI Architecture Cloud Administration High-Performance Data Engineering and MLOps On-Premise Infrastructure
  • Orquestación de Agentes e Inferencia Local
    Local AI Architecture and Critical Infrastructure
    April 2022 - January 2025 (2 years and 9 months)
    Implementation of advanced intelligence engines and autonomous agent systems in production environments. Specialist in the integration of local inference layers to optimize operational privacy, eliminating reliance on external services and reducing infrastructure costs to zero.
  • (Freelance / Proyecto Propio)
    Automation Architect and AI | (Autonomous Content Generation System)
    October 2025 - February 2026 (4 months)
    Málaga, Spain
    End-to-End Automation: YouTube Channel "Content-as-a-Code"
    Design and deployment of an integral infrastructure for the total automation of a high-performance YouTube channel, managing everything from trend analysis to SEO-optimized publishing.

    Technical Achievements and Responsibilities:

    Infrastructure and Cloud: Implementation on Oracle Cloud (OCI) using Ampere A1 instances (24GB RAM, 4 OCPUs). Orchestration with Docker and Docker Compose to ensure persistence and scalability of microservices.

    Workflow Orchestration: Development of complex logic in n8n with custom nodes for asynchronous states and Webhook systems to manage external renderings without saturating the CPU.

    Generative AI Stack:

    NLP: Gemini 1.5 Pro and GPT-4o for high-retention scripts and dynamic prompts.

    Media Gen: Runway Gen-3 and Kling AI APIs for high-fidelity synthetic clips.

    Voice: ElevenLabs for voice cloning and emotional synthesis.

    Programmatic Editing: Replacement of manual editing with an FFmpeg and Editly (Node.js) based rendering engine. Composition of layers, transitions, and dynamic subtitles via Python integrated into n8n.

    Big Data: Competitive metrics scraping pipeline in PostgreSQL to adjust topics based on virality probability through a feedback loop with the LLM.

    DevOps and Security: Secret management, Reverse Proxy with Traefik, SSL certificates (Let's Encrypt), and VCN firewalls.

    Key Technologies:
    n8n, Docker, OCI, Python, Node.js, FFmpeg, PostgreSQL, YouTube Data API v3, OpenAI/Gemini APIs, ElevenLabs, Runway.

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Education

  • Microsoft Azure AI Engineer Associate (AI-102)
    Microsoft Azure AI Engineer Associate (AI-102)

Skill set

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