Full Stack Developer specialising in video pipelines, AI automation & real-time systems
- 🎬 Built an automated video pipeline processing 160+ YouTube channels and Twitch streams, converting and uploading to Telegram with zero manual intervention.
- 📰 Engineered a AI-powered news system scraping 500+ sources (YouTube, RSS, GitHub, Product Hunt), generating summaries with Gemini API and distributing via Telegram + email.
- 🤖 Created a Telegram bot with yt-dlp integration, HLS fallback, and real-time AI content generation (tips, tools, news).
- 🎓 I share everything I learn on my blog — detailed guides written step by step.
🚦 CI/CD STATUS — Tech Pulse
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500+ sources → AI → Telegram + Email + Dashboard Full automation ecosystem: scrapes, summarizes with Gemini, and distributes via 3 channels. 16 GitHub Actions workflows running 24/7.
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Twitch/YouTube → FFmpeg → Telegram Automated video recording and compression. 6 Docker containers, cron scheduling, zero manual intervention.
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50+ step-by-step guides Technical writing on Docker, FFmpeg, Python, AI. Built with Astro, deployed on Vercel. Everything documented from scratch.
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principles:
- Clean & Readable: "I write code for humans first, computers second. Deep believer in KISS and SOLID."
- Automation First: "If a manual task has to be done more than thrice, it deserves a script or a GitHub Action."
- Architecture Mindset: "Focus on decoupled systems, scalability, and predictable state management."
- Testing Culture: "A feature isn't 'done' until it's covered by meaningful unit or integration tests."| Frontend | Backend & Databases | DevOps & Tools |
|---|---|---|
 TypeScript |
 Node.js (Express) |
 Docker |
 React / React Native |
 Python |
 Linux |
 Vue.js |
 PostgreSQL |
 Git & Actions |
 Tailwind CSS |
 Prisma |
 Jest |
 Socket.IO |
- Instalación del Ecosistema Devjobs: Pipeline Completo desde Cero
- Refactor SOLID: del JavaScript monolítico a una arquitectura reactiva
- Gestionar entornos virtuales de Python en Ubuntu con aliases
- Inteligencia Artificial a nivel técnico: de los tokens al RAG, pasando por los LLM
- Instalación de FFmpeg + yt-dlp: Conversor de Vídeo y Pipeline de Compresión
Let's build something together.
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"Prueba de Feedback con el githubactions" — Anónimo (jun 2026)