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Who is Miguel Otero Pedrido?
He builds real AI, then shows you every step. Frameworks, patterns, and code walkthroughs turn scary projects into doable weekends. His voice is upbeat and precise. People follow because he makes production feel close.

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Elena Freeman designs partnerships and events at Favikon. She cares about building spaces where creators, brands, and ideas meet in ways that feel real and memorable. From partner programs to community gatherings, she focuses on making connections that spark collaboration and professional growth.
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Miguel Otero Pedrido: Agents, APIs, and ship-it energy
He builds real AI, then shows you every step. Frameworks, patterns, and code walkthroughs turn scary projects into doable weekends. His voice is upbeat and precise. People follow because he makes production feel close.
1. Who he is
Miguel Otero Pedrido is a Machine Learning Engineer and founder of The Neural Maze. He specializes in production-grade systems across agents, recommender engines, computer vision, and generative AI. His motto is simple: “ML/AI Engineers aren’t built on tutorials. They’re forged in end-to-end projects.” Milestones include open courses, detailed Substack guides, and talks where he diagrams working stacks in public. He documents agent architectures with LangGraph, shows FastAPI backends, and wires in vector databases the way teams actually ship. He positions himself as the practical coach for builders who learn by doing.
2. A Network of Heavyweights

Miguel’s circle spans toolmakers, founders, and educators in the AI scene. You’ll spot partnerships and shout-outs around Zapier, Comet, and Groq, plus engineers shipping LangChain and retrieval stacks. His comment sections include practitioners, indie hackers, and data teams across Spain and Latin America. The mix gives him credibility with both startups and enterprise learners.
3. Why people listen

He explains the “why” behind every layer. Posts map clean architectures, from ingestion to orchestration to serving. He shares repos, checklists, and gotchas that save hours. The tone is friendly, the gifs are helpful, and the lessons stick.
4. Authenticity that resonates

Favikon scores his authenticity at 95.5/100. Threads read like lab notes from real builds with honest trade-offs. Comments include personal anecdotes and technical questions, not copy-paste hype. It feels like a study group that ships.
5. Numbers that back it up

Miguel reaches ~53.7k followers on LinkedIn and keeps growing at about +8.35%. He posts a brisk 40 times per month with very good engagement. His Influence Score sits at 7,721 points. Rankings put him in LinkedIn Spain’s top 1% (#53) and top 3% for Computer Engineering worldwide (#415).
6. Collaborations that matter
He teams up with platforms and infra players to turn features into working demos. Educational partners lean on his diagrams and notebooks for cohort learning. Tool vendors invite him to benchmark agents and teach best practices. The result is content that moves developers from “cool” to “shipped.”
7. Why brands should partner with Miguel Otero Pedrido

When you need builders to adopt your AI tool, Miguel is a force multiplier.
- Tutorial series that turns your SDK into a production agent stack
- Live workshops and AMAs for dev communities in Spain and LatAm
- Co-created sample apps with repos, tests, and deployment guides
- Independent validation posts that benchmark latency, cost, and reliability
8. Why Miguel Otero Pedrido is relevant in 2026
AI teams are racing from prototypes to resilient services. Agents, streaming contexts, and cost control now decide winners. Miguel sits where architecture meets code, translating fast-moving tools into stable patterns. He helps organizations learn fast without breaking prod.
Conclusion: Ship the thing
Miguel’s edge is momentum. He teaches the mental model, shares the template, and proves it with running code. The style is cheerful, the standards are high, and the outcomes are real. That’s why engineers keep his threads open while they build.
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