Data scientist in Madrid. I take pipelines, cloud infrastructure and AI systems from messy to production, and keep them there.
Airflow DAGs, SQL modelling, BigQuery and Postgres. ETL and ELT orchestrated end to end, from ingestion to the analysis on top, with data quality checks built in. Data that arrives clean, on time, every time.
Docker, Kubernetes and Google Cloud, with CI/CD pipelines, GitOps deploys and monitoring from day one. Infrastructure built the way someone who has to keep it running would build it.
From classic machine learning to modern AI: LLM integrations and agentic systems, trained or wired up, evaluated, and served behind clean FastAPI endpoints, in production rather than in a notebook.
$ currently: diving deeper into DevOps · studying for the Google Cloud Data Engineer certificate
$ whoami · biotechnologist first, data scientist by conversion: I came for the biology and stayed for the pipelines.
$ interests · reading, travelling, swimming in the sea, Asian culture and its food.
An OpenClaw agent running on my own VPS and served through a Telegram bot, wired into Notion, GitHub, and Google Workspace so it can manage notes, repos, mail, and calendar from one chat.
A custom GPT-based chatbot with a REST API, exploring how large language models can be wrapped into reliable, self-hosted services. Completed as my Master's thesis at Polytechnic University of Madrid.
I keep production boring; if your team could use that kind of quiet, write me.
