Modern, self-updating technical portfolio showcasing expertise in Full-Stack Python/Django development, cross‑platform ecosystems, and open‑source contributions. This isn't just a static site—it's a fully automated ecosystem that fetches live data and builds itself daily.
A curated collection of my articles, guides, and tutorials aimed at empowering the developer community and showcasing my professional writing contributions. Explore resources on various platforms including FreeCodeCamp, Hackernoon, and Hashnode.
Personal GitHub profile repository showcasing my professional background, software development projects, technical skills, open-source contributions, programming experience, and interests in modern web development, software engineering, automation, and technology.
Evidence-first technical portfolio: Voice/RTC foundation, deployed API prototype, automation and applied AI roadmap.
Mechanical design and test profile covering LabVIEW data acquisition, MEP design, structural analysis, thermal design, and technical project work.
A hands-on Microsoft Azure Fundamentals lab series connecting on-premises identity and access management
Web pública del portfolio técnico de Txema Ríos: proyectos, agentes IA, RAG documental y automatización.
Unreal Engine 5.8 C++ spatial mathematics toolkit with five interactive demonstrations and 25 verified automation tests.
Portfolio técnico con evidencias sobre administración IT, sistemas, SQL Server/DBA, cloud, Data Platform, monitorización, infraestructura y seguridad defensiva.
Verified portfolio map of public AI systems projects, reproducible evidence, and explicit claim boundaries.
Sanitized engineering case study for TradingView Pine Script signal refactoring, configurable alerts, validation, and disclosure-safe delivery.
Curated computer vision and spatial intelligence portfolio case study
Selected projects and open-source work across data, analytics, Databricks, ML systems, and applied AI.
Architecture case studies from AI engineering systems I contributed to, spanning verifiable legal knowledge, document intelligence, AI compliance, RAG, event-driven data systems, and explainable medical imaging.
🧪 Laboratorio de sistemas distribuido con 20 casos reales Docker-first para diagnosticar y resolver problemas criticos de rendimiento, observabilidad, resiliencia y arquitectura 🐳
AI-ready TypeScript proof of concept for MSP ticket triage, priority scoring, SLA risk and next-action recommendations.
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