subjectmarcos aguayo

I build software, teams and production lines.

I’m a CTO and software engineer based in Barcelona. For more than fifteen years I’ve designed, built and run the technology behind products: web platforms, APIs, mobile apps, data and AI, and lately the machines too.
Portrait of Marcos Aguayo marcos aguayo 0.99
Marcos Aguayo, face detected and labelled by a computer-vision overlay.

The longer version

Today I lead engineering at Insectius, an agritech company, where the stack goes from a SaaS platform and computer vision down to IoT sensors and production lines built around KUKA robotic arms. Before that I led engineering at Cocunat, built backends for Futrli in Brighton, and co-founded MiCuento.

I like first principles, small strong teams and systems that stay simple under pressure. I’m most useful where the problem is as much about the business as about the code.

principles4

How I work

The rules I come back to when a system, a team or a roadmap gets complicated.
  • Understand the problem before overbuilding

    Most systems fail on the wrong problem, not on the code. I validate before I scale.

  • Find the real bottleneck

    Effort spent anywhere else is decoration.

  • Simple, defensible systems

    Simple enough to run under pressure, specific enough to be hard to copy.

  • Leverage before headcount

    Prototype fast, automate early, and hire when the leverage runs out.

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Tools I build with

The toolbox behind my work, grouped by language, backend, interface, infrastructure, data and hardware.
Languages
  • Python
  • Go
  • TypeScript
  • JavaScript
  • Solidity
Backend
  • Django
  • FastAPI
  • Node.js
  • Express
  • Gin
  • REST APIs
  • Microservices
Front end and mobile
  • React
  • Next.js
  • Vue
  • React Native
  • Ionic
  • Unity (AR)
Cloud and DevOps
  • AWS (Lambda, DynamoDB, SQS, S3, EC2, Kinesis)
  • Cloudflare Workers, KV and D1
  • Kubernetes
  • Docker
  • Serverless Framework
  • GitHub Actions
  • CircleCI
  • Nginx
  • Linux
AI and data
  • Computer vision
  • Machine learning
  • Predictive models
  • Data pipelines
Hardware and industry
  • IoT sensors
  • KUKA robotic arms
  • Industrial automation
  • Production line design