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@cid-harvard @terra-foundation

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matuteiglesias/README.md

M. I. Matías Iglesias

AI Systems Engineer, Data Scientist, and Economist building live intelligence, civic-data, and knowledge systems.

I design and ship systems that turn information into structured, usable outputs: news pipelines, public-data products, civic information tools, research-to-web infrastructure, and operational AI workflows.

My work sits at the intersection of:

  • AI systems and automation
  • data engineering and information pipelines
  • civic and institutional intelligence
  • research translated into public-facing products

What I build

1. Live intelligence systems

Production-style pipelines that ingest, structure, enrich, and publish information surfaces.

Examples:

  • news monitoring and editorial pipelines
  • automated acquisition and structuring workflows
  • public-facing information surfaces with live refresh
  • summarization and triage systems

2. Civic and public-data infrastructure

Tools and data products for understanding institutions, territories, poverty, regulation, and public systems.

Examples:

  • poverty and census data pipelines
  • geographic and socioeconomic data products
  • legislative, institutional, and norms-monitoring prototypes
  • public-interest data tools for Argentina

3. Research-to-product systems

I turn technical and academic work into usable, inspectable artifacts.

Examples:

  • thesis-to-web and knowledge publication pipelines
  • analytical notebooks upgraded into products
  • reproducible document and knowledge workflows
  • documentation systems and public technical surfaces

Selected public surfaces

Background

  • Senior AI / data systems builder
  • PhD in Economics
  • MSc in Physics
  • Experience across public sector, consulting, research, and technical product building

Working style

I care about systems that are:

  • modular
  • inspectable
  • reproducible
  • operationally useful
  • able to survive contact with real workflows

I am especially interested in building tools that improve how people and institutions acquire, structure, and use information.

Repository guide

This profile brings together work across several recurring themes:

  • AI + automation
  • data pipelines
  • knowledge systems
  • civic tech
  • economic and public-data analysis
  • publication infrastructure

Pinned repositories below are the best starting point.

Contact


En español

Soy ingeniero de sistemas de IA, científico de datos y economista, y construyo sistemas que convierten información dispersa en productos utilizables: pipelines de noticias, herramientas cívicas, infraestructura de conocimiento, productos de datos públicos y automatizaciones operativas.

Trabajo especialmente en la intersección entre:

  • sistemas de IA y automatización
  • ingeniería de datos y pipelines de información
  • inteligencia cívica e institucional
  • traducción de investigación en productos públicos

Pinned Loading

  1. media_monitor media_monitor Public

    Live news intelligence and publishing pipeline for economic, political, and civic monitoring.

    Jupyter Notebook 1

  2. indice-pobreza-UBA indice-pobreza-UBA Public

    Poverty measurement and analysis pipeline for Argentina using household survey microdata.

    Jupyter Notebook 2 1

  3. thesis thesis Public

    Public web edition of my PhD thesis in economics, designed for readable and navigable access.

    HTML 1

  4. kb-contracts kb-contracts Public

    Contracts and schemas for a multi-repo knowledge pipeline: events, sessions, summaries, digests, and publishing buses.

    TypeScript 1

  5. journal journal Public

    Public development journal for systems, experiments, and technical work across AI, data, and civic tools.

    TypeScript 1

  6. encuestador-de-hogares encuestador-de-hogares Public

    Household survey ML pipeline using EPH and census data to model Argentine socioeconomic indicators.

    Jupyter Notebook 7 3