Experiencia

BASF Digital Hub Madrid

Full-time

• →Design, implementation and maintenance of cloud infrastructure on Azure at scale
• →Technical leadership of infrastructure and automation projects end-to-end
• →Custom Terraform provider development in Go to meet complex internal platform requirements
• →Python automation frameworks: testing, internal tooling, data pipeline support
• →Databricks data platform management; collaboration with Big Data engineering teams
• →Integration of AI tools and LLM-based workflows into daily engineering practice
• →Driving IaC best practices, governance and GitHub Actions CI/CD adoption

IBM

Full-time

• →Automated IT infrastructure management tasks using Ansible Tower
• →Developed Ansible roles & playbooks for database operations
• →Python automation scripts and Terraform / Azure / Kubernetes migration proposals

Roche

Full-time

• →IaC and automation across infrastructure components in an enterprise environment
• →Stack: Terraform, Ansible, Python, Kubernetes, Docker, Jenkins, AWX, GCP
• →Cross-functional Agile collaboration; contributed to internal tooling projects

Roche

Internship

• →Built Linux/CentOS infrastructure to deploy Prometheus monitoring with Docker & Kubernetes
• →Set up CI/CD and DevOps environments from scratch
• →Trained in Ansible, Terraform, Jenkins, Bitbucket, AWS
• →Built strong foundations in software engineering best practices working alongside senior engineers

Banco Santander

Full-time

• →SQL data extraction and interaction network analysis (PostgreSQL)
• →Python data processing with NumPy and Pandas

CNB-CSIC

Part-time

• →Bioinformatics and statistical analysis for genomics research
• →Python, R, SQL and cloud computing (Galaxy platform)

Universidad Politécnica de Madrid

Part-time

• →Developed a computational model for gene expression (systems biology)
• →Presented research at an international congress in Heidelberg, Germany

Universidad Politécnica de Madrid (UPM)

Education

• →Specialised in the computational branch of Biotechnology (Bioinformatics)
• →Hands-on work with Python, R and bioinformatics data analysis pipelines
• →First contact with cloud computing, big data and programming fundamentals
• →Final project presented at international congress in Heidelberg, Germany