About Jose
Spanish
Native or bilingual
Portuguese
Basic
Experience
- Proyecto PropioLocal AI Architecture and Critical InfrastructureJanuary 2022 - February 2025 (3 years and 1 month)Madrid, SpainLocal 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
- Orquestación de Agentes e Inferencia LocalLocal AI Architecture and Critical InfrastructureApril 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, SpainEnd-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)