Senior Data & AI Engineer building reliable systems for data, documents, retrieval, and automation.
I build Python/SQL systems that turn messy information into usable infrastructure: data pipelines, document-processing workflows, retrieval systems, dashboards, publishing workflows, and AI-assisted automation tools.
My background combines software/data engineering with scientific training in economics and physics. I am strongest where data, software, research judgment, and operational usefulness need to meet.
Systems that acquire, structure, enrich, validate, and publish information.
Examples:
- news and media-monitoring pipelines
- document-processing and retrieval workflows
- LLM-assisted summarization, triage, and drafting systems
- automation layers for repeated operational work
- human-reviewable handoff surfaces
Interfaces and workflows that make multi-step data/AI systems inspectable and maintainable.
Examples:
- schema-based contract buses
- run records and observability indexes
- reproducible pipelines
- static/public publishing surfaces
- documentation and handoff systems
Applied data products that translate complex datasets and research workflows into maps, reports, dashboards, and public-facing outputs.
Examples:
- poverty and household-survey data workflows
- geographic and socioeconomic analysis
- economic/public-data reporting
- research-to-web publication pipelines
- analytical notebooks upgraded into inspectable products
Start here if you want to inspect my work from the outside.
- Main site: main.matuteiglesias.link
- CV: main.matuteiglesias.link/docs/General/cv
- AI & Data Systems profile: main.matuteiglesias.link/docs/General/tech
- Media Monitor: mediamonitor-psi.vercel.app
- Knowledge / Data Contracts: kb-contracts.matuteiglesias.link
- Thesis portal: thesis.matuteiglesias.link
- Developer journal / build log: journal.matuteiglesias.link
I care about systems that are:
- modular
- inspectable
- reproducible
- documented
- operationally useful
- honest about status, scope, and limitations
- able to survive contact with real workflows
I am especially interested in building tools that help people and organizations acquire, structure, retrieve, validate, and use information.
- Senior Data & AI Engineer
- PhD in Economics
- MSc in Physics
- Experience across public sector, consulting, applied research, and technical product building
- Main stack: Python, SQL, LLM APIs, RAG, BigQuery/GCP, CI/CD, static publishing, workflow automation
They usually fall into these themes:
- AI/data automation
- data pipelines
- retrieval and knowledge systems
- contract-based workflow reliability
- public-data analysis
- research-to-product infrastructure
- documentation and publishing systems
- Main site: main.matuteiglesias.link
- LinkedIn: linkedin.com/in/matiasiglesias
- GitHub: github.com/matuteiglesias
- Email: matuteiglesias@gmail.com
Soy Senior Data & AI Engineer. Construyo sistemas confiables para datos, documentos, recuperación de información y automatización.
Trabajo con Python, SQL, APIs de LLMs, RAG, pipelines de datos, documentación técnica y workflows reproducibles para convertir información desordenada en infraestructura usable: datasets estructurados, sistemas de recuperación, dashboards, reportes, superficies públicas y herramientas asistidas por IA.
Mi formación combina ingeniería de software/datos con economía y física. Soy más fuerte en problemas donde datos, software, criterio analítico y utilidad operativa tienen que encontrarse.- inteligencia cívica e institucional
- traducción de investigación en productos públicos