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

Professional summary

Versatile AI engineer and data scientist with over eight years of experience building production ML pipelines, data engineering systems, and AI-enabled automation for public sector and research settings. Works at the intersection of engineering and policy: designs reliable data pipelines, materializes reproducible experiments, and translates results into operational tools for decision makers. Technical strengths include Python, SQL, production APIs, vector search and IA workflow deployment, and automation of CI/CD workflows.

Skills

Programming and infra: Python, R, SQL, FastAPI, Docker, GitHub Actions, CI/CD LLMs and retrieval: LangChain, PromptFlow, ChromaDB, vector search, RAG architectures Data engineering: ETL design, orchestration, data quality, semantic indexing ML and research: supervised models, spatial models, experiment logging, reproducibility Cloud: GCP, AWS, Azure (deployment and managed services) Visualization and tools: pandas, matplotlib, Streamlit, Jupyter Project practice: Agile workflows, runbooks, stakeholder communication

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​