PAULA ROBLES LÓPEZ_

I'LL MAKE IT WORK

Data scientist in Madrid. I take pipelines, cloud infrastructure and AI systems from messy to production, and keep them there.

building AI systems & cloud infra @ indigitall

What I bring to a team

data-pipelines

Pipelines & analytics

Airflow DAGs, SQL modelling, BigQuery and Postgres. Data that arrives clean, on time, every time, with the analysis to prove it.

Python SQL Airflow dbt BigQuery R
cloud-devops

Cloud & DevOps

Docker, Kubernetes and Google Cloud. Infrastructure built the way someone who has to keep it running would build it.

Docker Kubernetes GCP CircleCI ArgoCD Git
machine-learning

AI & machine learning

Classic machine learning and modern AI: models trained, evaluated and served behind clean FastAPI endpoints, in production rather than in a notebook.

Python PyTorch scikit-learn pandas LangChain FastAPI Postman

$ currently: diving deeper into DevOps · studying for the Google Cloud Data Engineer certificate

3+
years shipping Python, SQL and cloud to production
24/7
high-availability production on Kubernetes & GCP, shipped with CI/CD best practices
2
degrees: MSc Data Science, BSc Computational Biotechnology
dogs petted between deploys

Case files

/01

Personal AI agent, self-hosted

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.

OpenClaw Node.js Docker Docker Compose VPS
/02

ChatUPM, a custom GPT chatbot

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.

Python Flask SQLAlchemy Waitress GPT

The shelf behind the desk

Films
Albums
Books

Let's build somethingthat stays up.

If your team needs a data scientist or data engineer who ships, my inbox is open. Resumé above, receipts in the case files.