Who I am and what I do
Senior Backend Engineer with 10+ years shipping production Python — designing and scaling APIs and event-driven microservices on AWS, and productionizing AI/ML models and LLMs (RAG) as reliable services. My path runs from energy-market and AI-driven algorithmic trading into behavioural-analytics fintech. MSc in Artificial Intelligence.
Tools & technologies I work with
Where I've worked
Design and scale APIs across AWS microservices for a leading digital-asset-management platform; build CI/CD pipelines and productionize AI/ML models and LLMs as scalable services. Shipped ShredAI (LLM/RAG proposal analysis), Portals (GraphQL time-limited asset sharing over CDN with CloudFront signed URLs + JWT), event-driven Lambda / Step Functions metadata pipelines, and the shared OpenAsset Python SDK.
Behavioural-analytics fintech for active investors. Built and scaled Python APIs and asynchronous data pipelines (NumPy/Pandas) on AWS; migrated legacy EC2 monoliths to event-driven microservices. Delivered the Nudge risk-alert service and an Airflow ETL "Transformer", and moved CI/CD to AWS CodePipeline / CodeArtifact with Terraform.
Machine-learning pipeline for automated trading-strategy development: generated, backtested and optimized MetaTrader Expert Advisors (EAs) using supervised learning (decision trees, scikit-learn).
Trading-desk decision-making on the Spanish electricity market (OMIE): submitted purchase/sale bids and ran demand forecasting and data analysis over ESIOS historical data.
Degrees & training
Machine Learning & Deep Learning, metaheuristics, and natural language processing.
Mechanics, mathematics & statistics, dynamics, structural and electrical engineering.