Alvaro Villalba

AI Engineer / Agents / Production AI Infra

Alvaro Villalba

AI Engineer with 3+ years building AI agents, RAG pipelines, and production AI infrastructure on AWS and Azure. Designed and shipped an AI-native HR platform from zero to enterprise pilots, integrating OpenAI, Anthropic, Google, xAI, MCP, fine-tuning, and evals with 70%+ performance gains over the initial stack.

Professional Experience

AI QA Architect

Iberia via Alten

April 2026 - Present

Defined, led, and executed QA automation projects for Iberia's AI product, iBot.

  • Led AI evals for unit testing, QA agents for E2E testing, and Playwright-based functional testing.
  • Designed quality workflows for an airline AI assistant where reliability, regression coverage, and scenario evidence matter.

Engineering & Product Lead

Clous Intelligence

July 2023 - Present

Built Clous from scratch as an AI-native HR platform using agentic architectures with tool use, routing, memory, and human-in-the-loop controls.

  • Shipped production systems on AWS and Azure with Python, Django, PostgreSQL, Redis, Celery, ECS/Fargate, S3, Next.js, TypeScript, and Tailwind.
  • Designed core AI architecture for hiring, performance, and documentation workflows: multi-agent systems, RAG with Pinecone and S3, Knowledge-Graph RAG with Neo4j, MCP Apps, and Slack Bot integrations.
  • Cut time to first token to under 3 seconds while improving throughput by roughly 70% through routing, caching, Celery worker tuning, and context optimization.
  • Owned product discovery and delivery end to end: ran 30+ interviews with HR leaders, translated insights into roadmap priorities, closed 2 paid GenAI pilots, and led a 4-person team plus 2 advisors across backlog and technical decisions.

Interim Technology Lead

Orygen

February 2022 - July 2022

Defined the early technical roadmap and vendor strategy for a climate-tech startup.

  • Built financial models and simulations to support fundraising and product decisions.
  • Worked across supplier evaluation, technical planning, and execution tradeoffs during the company formation stage.

Engineering Intern

JP Alcaraz

Summer 2019 and 2020

Supported maintenance and troubleshooting of naval electronics across multiple suppliers.

  • Collaborated with defence-sector stakeholders connected to Ministerio de Defensa projects.
  • Worked hands-on with electronics repair, maintenance processes, and supplier-specific technical constraints.

Education

Aerospace Engineering

Universidad Politecnica de Madrid

2018 - 2023

Bachelor-level aerospace engineering program with a major focus on aerospace propulsion.

Bachillerato with Matricula de Honor

IES El Bohio

Pre-university education

Spanish pre-university track completed with Matricula de Honor distinction.

GCSEs - British Curriculum

King's College of Murcia

Secondary education

British curriculum studies before university engineering education.

Certifications

Santander X Launch 5.0

Babson College with Banco Santander

Entrepreneurship

Startup and entrepreneurship program delivered by Babson College with Banco Santander.

Google Project Management

Google

Project management

Project management certification covering planning, execution, stakeholder management, and delivery practices.

Applied Data Science with Python

University of Michigan

Data science

Applied Python data science coursework covering data analysis and machine learning foundations.

C1 English Certificate

Cambridge English

Language

Cambridge English C1 certification.

Skills and Frameworks

Backend & APIs

Production software

Python / Django / REST

Python, Django, REST APIs, PostgreSQL, Redis, and Celery.

AI Systems

Applied AI infrastructure

Agents / RAG / Evals

RAG, Knowledge Graphs, multi-agent systems, Agents SDK, MCP and MCP Apps, prompt/context engineering, evaluations, and fine-tuning.

Cloud & Infra

Deployment and operations

AWS / Azure / Docker

AWS ECS/Fargate, S3, RDS, Docker, Azure, Heroku, and GCP.

Frontend

Product interfaces

React / Next.js

React, Next.js, TypeScript, Tailwind, and Figma.

ML Supporting Stack

Modeling and experimentation

PyTorch / TensorFlow

PyTorch, TensorFlow, and scikit-learn.