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Selected Projects

These proof capsules summarize the three project areas I currently use to show applied AI engineering, data-system architecture, and research-grade public-data work. Evidence is marked conservatively: if a public artifact still needs sanitization or review, it is listed as Evidence pending review instead of linked.

1. Media Monitor​

Role signal: Operational AI/data automation system.

Brief: An AI/data intelligence pipeline that turns raw news inputs into structured briefs, drafts, schema-valid handoff artifacts, and human-reviewable outputs.

What it proves

  • I can design inspectable AI/data workflows across acquisition, enrichment, editorial generation, and publishing boundaries.
  • I can separate LLM runtime output from stable contract buses and human handoff surfaces.
  • I can expose fallback visibility and operational status instead of hiding fragile assumptions in scripts.

Evidence

  • Architecture flow and module boundaries.
  • Evidence pending review: sanitized public/demo snapshot surface.
  • Evidence pending review: sample editorial handoff packet or editorial_latest.json shape.
Open Media Monitor proof capsule

2. Knowledge / Data Contracts​

Role signal: Reliability architecture for AI/knowledge pipelines.

Brief: A contract architecture for making AI and knowledge pipelines inspectable, testable, maintainable, and safer to extend across producers, versioned buses, manifests, observability indexes, and sanctioned consumers.

What it proves

  • I can design reliability layers that keep multi-repo AI/data pipelines inspectable and safe to extend.
  • I can define boundaries, contracts, observability, versioning, integration governance, and failure containment.
  • I can turn knowledge-system architecture into explicit rules rather than hidden coupling between folders and scripts.

Evidence

  • Public technical overview.
  • Evidence pending review: integration seams page.
  • Evidence pending review: run record and observability index contracts.
Open Knowledge / Data Contracts proof capsule

3. Public Data / Poverty & EPH​

Role signal: Research-grade public data product.

Brief: A public-data analysis project combining Argentine household survey microdata, socioeconomic modeling, maps, and reproducible analytical outputs.

What it proves

  • I can apply research-grade analytical judgment to public socioeconomic data rather than only moving JSON artifacts.
  • I can build reproducible paths from survey microdata to indicators, geospatial analysis, and human-facing outputs.
  • I can translate economic research into inspectable maps, charts, tables, and documentation for public audiences.

Evidence

Open Public Data / Poverty & EPH proof capsule