About

Cloud migration, deployment and security for one of Spain’s largest banks, aligning tooling with the group’s global strategy.

• Coordinating data and AI projects on AWS and Azure and provisioning their infrastructure with Terraform (RDS, Redshift, DynamoDB, Glue, Lambda), including business-critical public-facing services.
• Technical lead and mentor for a DevOps team of 8–9 engineers, and point of contact between the team and several client entities.
• CI/CD pipelines with GitHub Actions, SonarQube, Fortify and Nexus, plus hardening on AWS, RHEL and Windows Server.
• Taking part in hiring new engineers together with the bank.

Cloud computing and AI in the MSc in Artificial Intelligence and the BSc in Data Science.

• Taught Tools for AI-Driven Cloud Computing (MSc in AI) three times and helped develop its content and syllabus.
• Taught Artificial Intelligence and Knowledge Engineering (BSc in Data Science) twice.
• Supervised 12 master’s theses and 2 bachelor’s theses.
• Rated 8.9/10 in official student surveys, above the programme average.

MLOps for the R&D department of a biometrics company: AI models in production and the infrastructure that trains them.

• Deployed AI models for genuine ID document recognition on AWS EKS, with Terraform and CI/CD.
• Planned, forecast and provisioned R&D infrastructure on AWS (EC2, S3) and on-premise; helped define the working methodology for the Nvidia HGX GPU data centre using Docker and Bash.
• Automated AWS infrastructure management with Python (Boto3) and Ansible.
• Designed the architecture that automatically moves unstructured data, mainly images, into production layers for AI model training.

Deep learning to predict failures in CPUs exposed to ionising radiation.

Software lifecycle automation, infrastructure as code, cloud migration strategies and CI/CD.

Final project: denoising spectroscopic signals with deep learning.

Check it with the code at verify.certiport.com