Tools & technologies
LLM applications
RAG over your documents, agents that query your data and applications built on language models, with the evaluation needed to know whether they actually work.
RAG over your documents, agents that query your data and applications built on language models, with the evaluation needed to know whether they actually work.
Retrieval that cites its source
Indexing, semantic retrieval and answers that cite the document they came from. The goal is for every answer to be verifiable, not just to sound good.
Agents with guardrails
Agents that translate natural language into queries and run them read-only, with bounded tools. Useful without being dangerous.
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
Answers with citations.
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Friction map
Evaluated, not just demoed.
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Journey shape
Bounded tools.
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:

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.
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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.
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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.
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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.
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