AI Engineer. Production-Grade Systems. Real-World Impact.
I build AI systems that go beyond notebooks — designed for reliability, accuracy, and scale in real deployments — based in Tenerife.
At a Glance
What I've Shipped
Institutional RAG system at Cabildo de Tenerife — one of Spain's largest public institutions:
- 🏆 Outperformed Microsoft Copilot Studio on document retrieval benchmarks against the institution's own corpus
- ⚡ Staff now surface institutional knowledge in seconds, not hours
- 🏗️ Sole AI Engineer — I owned architecture, retrieval pipeline, embedding strategy, LLM integration, and deployment end-to-end
▶ Case study: How I beat Microsoft Copilot Studio
The Cabildo already had access to Microsoft Copilot Studio — an enterprise product with significant backing. My task was to make their internal document corpus queryable by non-technical staff.
I built a custom RAG pipeline from scratch, making independent decisions on:
- Chunking strategy tuned to the structure of government reports
- Embedding model chosen for domain fit, not popularity
- Retrieval architecture designed around the query patterns of the institution's staff
In a controlled benchmark against the same corpus, my pipeline achieved higher precision and relevance than Copilot Studio. A government institution now runs on that system in production.
Engineering Approach
| 🔍 Retrieval | Chunking and embeddings chosen per corpus — not per default |
| ⚖️ LLM selection | Cost / quality / latency tradeoff, not hype |
| 🏗️ Architecture | Observable, failure-tolerant, built to iterate |
| 🤝 Stakeholders | Requirements → specs → momentum across technical and non-technical teams |
Background
- 🎓 B.Eng. Computer Engineering (Software Engineering) — Universidad de La Laguna
- 📄 Thesis: 10/10 — Applied multimodal LLMs to retinal imaging for early glaucoma detection
- 🎓 M.Sc. Artificial Intelligence (in progress) — Universidad Alfonso X el Sabio
Where I Work Best
✅ Large internal document corpora that need to become queryable
✅ Custom retrieval pipelines that outperform generic enterprise tools
✅ LLM systems where accuracy and latency directly impact user trust
✅ Architectures that must be defensible to technical and non-technical stakeholders alike
Beyond Engineering
Electronic music producer EyeMad — 10M+ streams, featured on Spotify editorial playlists Electro Chill and New Music Friday. Building an audience from zero is a different kind of systems thinking: how creative decisions compound over time, and how to ship work that resonates.