Tools & technologies
Machine learning pipelines
From raw data to a trained model, with a process you can repeat: data preparation, leakage-free validation, model comparison and honest evaluation.
From raw data to a trained model, with a process you can repeat: data preparation, leakage-free validation, model comparison and honest evaluation.
Leakage-free, from the start
Preprocessing lives inside the pipeline, so it is fit only on the training data in each cross-validation fold. What I measure in validation is what you can expect in production, not an inflated number.
Evaluation that tells the truth
Metrics that fit the problem, not just accuracy: ROC-AUC and PR-AUC on imbalanced data, probability calibration and per-segment error analysis to see where the model fails and why.
Operating locations
Studio in Madrid
Based in Madrid, working remotely with brands, studios and agencies inside and outside Spain.
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Decision flow
Reproducible, not a loose notebook.
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Friction map
Leakage-free validation.
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Journey shape
Honest evaluation.
Work with JMWEB
Let's build something that reaches production.
It all starts with a conversation. Bring a dataset, a goal or a model that is stuck; I will take care of the rest.
Start a project
Next projects:
MLOPSFASTAPIDOCKERMONITORING
Credit Risk Platform
End-to-end MLOps platform for credit-default scoring: reproducible training with a versioned model registry, a FastAPI inference API with input validation, PSI drift monitoring and a Prometheus and Grafana observability stack, all containerised with CI. Code at github.com/delcenjo/credit-risk-platform.
View project
PYTORCHTRANSFORMERSNLP
Transformer from scratch
A GPT-style language model implemented from scratch in PyTorch: multi-head attention, causal masking and residual blocks written by hand, plus a byte-pair tokenizer and an ablation study. Code at github.com/delcenjo/transformer-from-scratch.
View project
SCIKIT-LEARNCALIBRATIONTABULAR
Credit Risk Model
Credit-default risk model with rigorous evaluation: a leakage-free pipeline, cross-validated model comparison, calibrated probabilities, a cost-based decision threshold and per-segment error analysis. Code at github.com/delcenjo/credit-risk.
View project
RAGLLMFASTAPIDOCKER
AI Insight Assistant
An assistant that combines RAG and a SQL agent over your data: it retrieves from a document corpus and queries a database, served with FastAPI and Streamlit and packaged in Docker. Code at github.com/delcenjo/ai-insight-assistant.
View project