JMWEB
AI / ML Student · Python · FastAPI · Docker · Madrid
About me
Artificial intelligence and machine learning student based in Madrid. I learn by building complete projects: data pipelines, models for tabular data and text, inference APIs and drift monitoring. The goal is for nothing to stay in the notebook.
I care about the technical part that demos usually skip: honest evaluation without leakage, calibrated probabilities, cost-based decision thresholds and systems that detect when new data drifts from training. I am looking for an internship or a first junior role where I can keep learning with that same standard.
AI / ML STUDENT · PERSONAL PROJECTS
JMWEB
Personal ML and AI portfolio built while studying. Reproducible training pipelines, models for tabular data and text, inference APIs with FastAPI and Pydantic, and drift monitoring with Prometheus and Grafana. I maintain a suite of open-source CLI tools for ML workflows published on PyPI, and contribute at Cylstat and to open source projects.
DIGITAL PRODUCT DEVELOPER
DIGITAL PROJECTS
Work across digital projects of various kinds: data analysis, automation, API integration and tool development for technical and business teams. The base where I built the habit of starting from data before any technical decision.
DIGITAL TECHNICIAN
AGENCY / PROJECTS
First years working in digital environments: analytics tools, content management, basic process automation and technical support on product projects. Learned to work under pressure, document what I do and deliver without excuses.
Education
- Machine learning and AI studies (self-directed, ongoing)
Books (Mathematics for Machine Learning, ESLII, PRML), courses, personal projects · 2022 — Present - Digital technical training
Technical school (Madrid) · 2013 — 2016
Tools
Featured projects
- jmweb-org: suite of open-source CLI tools for ML workflows, published on PyPI with tests and CI
- credit-risk-platform: end-to-end MLOps platform with FastAPI, Docker, PSI drift and Grafana
- transformer-from-scratch: GPT-style transformer implemented from scratch in PyTorch with ablation study
- Spanish translation contributions to OSS projects (HuggingFace, FastAPI)
- math-for-ml: study repository for the Mathematics for Machine Learning book, 12 chapters
Languages
- Spanish — Native
- English — Advanced
Interests
- Mathematics for ML (linear algebra, probability, optimisation)
- Technical reading and ML papers
- Open source contributions
- Madrid and its neighbourhoods