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Full project descriptions and live tools are available through the Tech and Civic portfolios.

Professional summary

Senior Data & AI Engineer with a scientific background in economics and physics, focused on building reliable systems for data, documents, models, and automation.

I work across data engineering, machine learning, GenAI, retrieval systems, analytical infrastructure, and applied research. My recent work includes Python and SQL pipelines, LLM/RAG workflows, metadata contracts, validation layers, reproducible data products, and automation systems that transform messy information into usable infrastructure for decisions.

Skills

Programming and data: Python, SQL, R, Pandas, NumPy, scikit-learn, Jupyter AI and retrieval: LLM APIs, RAG, embeddings, ChromaDB, FAISS, LangChain, PromptFlow Data engineering: ETL/ELT, orchestration, JSON/JSONL, metadata contracts, validation, data quality Systems and delivery: FastAPI-style APIs, Docker, GitHub Actions, CI/CD, CLI tools, runbooks Cloud and storage: GCP, BigQuery, SQLite, object storage patterns, managed AI services Analytics and research: statistical modeling, inference, socioeconomic measurement, experiment logging Communication and leadership: technical writing, stakeholder translation, teaching, team coordination

Experience

Ministerio de Seguridad de la Provincia de Buenos Aires — Senior AI Systems Engineer (contract)​

Nov 2024 – Present

  • Lead design and delivery of AI-enabled processes for leadership use: knowledge management, document summarization, process automation, and staff augmentation.
  • Build and maintain production pipelines and deployment patterns for models and retrieval systems.
  • Work with operational teams to convert analytic outputs into actionable dashboards and runbooks.

Data Science Consultant — La Plata (hybrid)​

Oct 2022 – Oct 2024

  • Delivered Python and SQL pipelines on GCP for automated reporting and predictive analytics supporting public safety operations.
  • Implemented CI workflows and reproducible deployment processes to reduce time to production for analytic models.

Director of Data Analysis and App Development — (institution / team)​

Jun 2021 – Sep 2022

  • Led a small team of analysts and developers to produce integrated apps and dashboards.
  • Set up CI/CD practices, multi-source integration, and API-backed dashboards for operational use.

World Bank Group — Short Term Consultant (part-time)​

Jul 2021 – Jul 2022

  • Developed GIS and ML models in Python for spatial economic analysis to support project design and evaluation.

Facultad de Ciencias Exactas y Naturales, UBA — Vinculación Institucional / Data Mining MSc (part-time)​

Apr 2021 – Jun 2022

  • Coordinated institutional engagement and contributed to course material and applied project supervision in data mining.

Harvard Kennedy School — Visiting Fellow​

Sep 2018 – Sep 2019

  • Participated in Growth Lab research; contributed quantitative methods and applied analysis.

Caltech — Visiting Student Researcher​

Jul 2015 – Sep 2015

  • Research placement at the Institute for Quantum Information and Matter.

Teaching (selected)​

2021 – Present

  • Course delivery and exercise development in data science, reproducible workflows, and applied machine learning.
  • Designed modular Jupyter notebooks and exercises for practical coursework and RAG architectures.

Education

  • PhD in Economics, Scuola Superiore Sant’Anna, Pisa — 2016 to 2020 Focus: computational economics and nonlinear aggregation.
  • MSc in Physics, Universidad de Buenos Aires — dates to be confirmed Focus: modeling and simulation of complex systems.

Contact​