Senior Data & AI Engineer building reliable data systems, analytical infrastructure, and AI-enabled products.
I work where data engineering, applied AI, research judgment, and production reliability meet. My core stack is Python and SQL, with GCP/BigQuery, APIs, Docker, CI/CD, statistical/ML systems, and modern web delivery.
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A versioned EPH/Census system spanning semantic alignment, person-level income modeling, commissioning and calibration, governed releases, and a public geographic atlas.
Public Atlas · Measurement producer · EPH/Census aligner
A deployed news-intelligence and editorial system with immutable ingestion artifacts, versioned contracts, AI-assisted analysis, explicit human publication authority, freshness health, and guarded deployment.
A local read-only MCP server/client that gives AI systems governed access to independent knowledge sources through explicit identities, bounded reads, provenance, and path-containment controls.
A Python/SQL analytical-data system that turns ledger evidence into governed semantic marts, reconciled positions, metrics, drill-downs, and professional reports while preserving documentary uncertainty.
- FCV Scientific Instrument — multi-repository empirical infrastructure separating source facts, reusable measurements, experiment projection, calibration, and falsification.
- EPH Income Modeling — reproducible ML experiments with exact parent intake, neutral analysis frames, household-grouped splits, leakage controls, and evidence packaging.
- empirical-data-contracts — published Python contracts for identity, provenance, grain, coverage, measurements, QA, and runs.
- Atlas Económico de Argentina — reproducible economic-data and knowledge publication system.
- Evaluar App — production-shaped teaching/content platform with immutable content versions, OIDC, PostgreSQL, and operational gates.
Source authority → explicit contracts → deterministic transformation → validation/provenance → durable release or human handoff.
I prefer small inspectable components, explicit boundaries, tests and run evidence, and clear separation between generated artifacts and the human or system authority allowed to publish them.
Independent consultant since 2022. Previously Director of Data Analysis at the Ministry of Security of Buenos Aires Province and a World Bank consultant. Research experience includes the Harvard Kennedy School Growth Lab and Caltech. I hold a PhD in Economics from Scuola Superiore Sant'Anna and an MSc in Physics from the University of Buenos Aires, where I also teach.
Buenos Aires, Argentina · English / Spanish