Machine Learning Engineer focused on building production AI and data systems. I work across cloud infrastructure, MLOps, and GenAI.
Experience
Machine Learning / AI Engineer
Plain Concepts — July 2026 – Present
Developing production AI systems for a leading law firm, spanning cloud infrastructure, legal information retrieval, and generative AI.
- Platform & infrastructure. Designed and maintained infrastructure-as-code foundations for ML and GenAI workloads.
- Legal search. Developed search capabilities over legal documents, tuning Azure AI Search to improve retrieval quality.
- RAG applications. Built FastAPI services and RAG pipelines with Azure AI Search to ground generative responses in legal sources.
Machine Learning Engineer
NWorld · Banco Santander — February 2024 – July 2026
Supervised and unsupervised models for Anti-Money Laundering (AML) solutions.
- MLOps & Deployment. Model versioning, monitoring, and deployment using MLflow.
- Pipeline Automation. End-to-end ML pipelines with CI/CD workflows via Airflow.
- Feature Engineering. Robust feature pipelines with PySpark and Airflow.
- Model Training & Evaluation. Supervised models (Random Forest, XGBoost) and unsupervised models.
- Model Monitoring & Drift Detection. Custom metrics for data drift detection and automated retraining.
Software Engineer
NWorld · Banco Santander — December 2021 – February 2024
Backend, big data, and cloud infrastructure across several projects.
- Cloud architecture design (VPC, S3, Lambda, ECS, Glue, EC2, Athena, ECR, RDS, IAM).
- Data Science projects brought to production (pandas, sklearn, numpy).
- ETL development (Spark, pandas, Glue).
- Backend development (FastAPI, Python).
- AWS infrastructure deployment with Terraform (IaC).
Education
MSc in Software Engineering — Cloud, Data & IT Management
University of Seville — 2021–2022 Thesis: Machine Learning Models Interpretability — Honors.
BSc in Computer Engineering — Software Engineering
University of Seville — 2016–2021 Final project: Headlines Generation Through Transformer-based Models — Honors. Honors in Artificial Intelligence.
Certifications
- Microsoft Certified: Azure Fundamentals — 2025
- AWS Certified Cloud Practitioner — 2023
- Google Data Analytics Professional Certificate (+150h) — Coursera, 2021
- Scrum Foundations Professional Certificate — Certiprof, 2021
Languages
- Spanish — Native
- English — Professional working proficiency