My name is Iñigo, I'm a lifelong student of Software Engineering at 42 Urduliz, currently working as a QA Automation Engineer in the AI area at Telefónica, and originally trained as a Sysadmin.

I started out studying languages and literature but found my true passion in tech. I love learning new programming languages just as much as spoken ones! 🐍📚

QA & Testing: Behave (BDD) • Pytest • API Testing • E2E Testing
Infrastructure: Kubernetes • Docker • Terraform • AWS • Argo CD
AI/ML: Langraph • LLM Agent Development • RAG Systems • Agent Orchestration
Languages: Python • Bash • C • C++

• Improving QA automation in the AI area at Telefónica:
  Designing, maintaining, and evaluating robust testing pipelines for Large Language Model (LLM) agents, including automated end-to-end and behavioral testing with frameworks like Behave (BDD).
• Testing and evaluating the performance and reliability of AI agents, focusing on conversational and autonomous agent scenarios.
• Developing and experimenting with LLM agents using Langraph, exploring new approaches to agent orchestration and evaluation.
• Advancing my collaborative learning projects:
  • ft_transcendence:
    A full-stack Dockerized web application featuring a Django API, Angular landing page, and integrated dashboards (Grafana, Kibana, PGAdmin, RedisInsight). The project includes a versatile Makefile for orchestrating and managing all services.
  • Inception-of-Things (IoT):
    A collection of system administration exercises focused on lightweight infrastructure and Kubernetes. It covers building clusters with Vagrant and K3s, deploying web applications with Traefik ingress, and automating CI/CD with Argo CD. Each part demonstrates incremental DevOps skills with practical scripts and automation.

• HashiCorp Terraform Certification (planning to take exam after January 2026)
• Advanced Kubernetes patterns and cloud-native architectures
• GitOps workflows with Argo CD for production environments
• AI agent evaluation frameworks and LLM testing methodologies

• DevOps, QA automation, and testing projects—especially those involving AI or infrastructure.
• Open-source tools that blend infrastructure with development.
• Innovative uses of containers, Kubernetes, and LLM/AI agents in real-world scenarios.

• System administration, Docker, and CI/CD pipelines.
• QA automation frameworks and best practices, especially for AI/LLM agents.
• 42 projects and how to combine infrastructure with development.
• Developing and orchestrating agents with Langraph.

• 🎯 42 Urduliz - Software Engineering Student
• 📚 HashiCorp Terraform Associate (in progress - expected 2026)

📚 View Complete Portfolio & Technical Documentation