status / online · open to work

     

GenAI Platform Engineer · senior DevOps pivoting to AI infrastructure: agents, RAG, LLM gateways, n8n automation.

// automate. scale. innovate.

loc

36.72°N · 4.42°W

stack

k8s · llm · iac

since

2021

tip: try help · projects · sudo hire-me

// 02 about

From infrastructure
to applied AI.

cat /etc/eduardo/bio.txt
> reading 4 paragraphs...

Engineer with 4+ years in cloud infrastructure and DevOps now building AI platforms and agents in production. I design scalable systems (AWS · Azure · GCP), orchestrate LLMs and models on Kubernetes, and automate critical flows with n8n and Claude/GPT. My obsession: turning AI into a real operational tool, not a demo.

4+

years cloud & devops

99.9%

platform uptime

60%

lower deploy time

3

clouds in production

// philosophy

If it doesn't reach production, it doesn't exist. My obsession is turning AI into a reliable, observable, scalable operational layer — not an isolated notebook experiment.

// 03 stack

The tools I build with.

Pragmatic. What ships and stays maintainable.

Claude APIOpenAILangChainLlamaIndexCursorGitHub Copilotn8nVector DBs (pgvector · Qdrant)AzureAWSGCPTerraformPulumiAnsibleClaude APIOpenAILangChainLlamaIndexCursorGitHub Copilotn8nVector DBs (pgvector · Qdrant)AzureAWSGCPTerraformPulumiAnsibleClaude APIOpenAILangChainLlamaIndexCursorGitHub Copilotn8nVector DBs (pgvector · Qdrant)AzureAWSGCPTerraformPulumiAnsible
KubernetesDockerArgoCDGitLab CI/CDGitHub ActionsCoolifyPrometheusGrafanaDynatraceOpenTelemetryELKKubernetesDockerArgoCDGitLab CI/CDGitHub ActionsCoolifyPrometheusGrafanaDynatraceOpenTelemetryELKKubernetesDockerArgoCDGitLab CI/CDGitHub ActionsCoolifyPrometheusGrafanaDynatraceOpenTelemetryELK
PythonTypeScriptGoBashPowerShellSQLGitOpsIaCSREDevSecOpsOpenTelemetryPythonTypeScriptGoBashPowerShellSQLGitOpsIaCSREDevSecOpsOpenTelemetryPythonTypeScriptGoBashPowerShellSQLGitOpsIaCSREDevSecOpsOpenTelemetry

01

AI & LLMs

Claude APIOpenAILangChainLlamaIndexCursorGitHub Copilotn8nVector DBs (pgvector · Qdrant)

02

Cloud & IaC

AzureAWSGCPTerraformPulumiAnsible

03

Platform

KubernetesDockerArgoCDGitLab CI/CDGitHub ActionsCoolify

04

Observability

PrometheusGrafanaDynatraceOpenTelemetryELK

05

Languages

PythonTypeScriptGoBashPowerShellSQL

// 04 experience

Career timeline.

  1. Jan 2024 — Present

    Cloud DevOps Engineer · GenAI Focus

    Plain Concepts · Málaga, Spain

    • AI-assisted full-stack prototyping (Claude · Cursor · Copilot).
    • Designed and shipped scalable Azure infrastructure with IaC and optimized pipelines.
    • Robust CI/CD on Azure DevOps + Terraform with end-to-end release automation.
    • Observability with Prometheus + Grafana reaching 99.9% platform stability.
    • Python/JavaScript APIs and integrations for service orchestration.
    AzureTerraformAI ToolingPython
  2. Jul 2022 — Jan 2024

    Cloud Infrastructure Management

    Capgemini · Málaga, Spain

    • Cloud migration of enterprise applications with zero downtime.
    • GitOps with ArgoCD: -60% in deployment time.
    • Enterprise CI/CD with automated testing and Docker across multi-env.
    • Kubernetes cluster orchestration and end-to-end observability.
    • Architecture redesign: -30% cost, +40% performance.
    KubernetesArgoCDGitOpsDocker
  3. Feb 2022 — Jul 2022

    DevOps Engineer

    Mr. Milú · Madrid, Spain

    • Automated CI/CD with GitLab + Docker.
    • IaC with Terraform and Ansible focused on reliability.
    • Monolith-to-microservices migration with Docker.
    • -70% manual toil via automation (Terraform · Go · Python).
    TerraformGitLab CIMicroservices
  4. Jan 2022 — Dec 2022

    DevOps Engineer

    Freelance · Various clients · Málaga, Spain

    • GCP infrastructure modelling and implementation with Terraform.
    • Cloud-native migration strategy and execution.
    • GitOps with ArgoCD and production-ready K8s clusters.
    GCPTerraformKubernetes
  5. Feb 2021 — Feb 2022

    Infrastructure Engineer

    Avanade · Málaga, Spain

    • Azure deployment and management with Terraform at enterprise scale.
    • PowerShell automation: +40% efficiency, manual errors reduced.
    • Dynatrace monitoring for proactive performance management.
    • Microsoft 365 administration for clients with 1000+ users.
    AzurePowerShellDynatrace

// 05 projects

What I'm building.

A mix of production products, self-hosted infrastructure and experiments with AI on platform.

live building concept

// 06 contact

Got an AI idea in mind?

Tell me the problem and I'll reply if I can help. Audits, agent platforms, n8n automations or a DevOps SOS — all welcome.

I reply within 24 h.