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CV - AI Engineer & Data Scientist

Professional Summary​

Versatile AI Engineer and Data Scientist with 8+ years of experience in deploying ML pipelines, data analysis, and AI system design. Proven track record in managing cross-functional teams, developing innovative AI solutions, and bridging technical and strategic goals across sectors including security, government, and academia. Skilled in Python, R, SQL, LangChain, PromptFlow, ChromaDB, FastAPI, and cloud deployments.

Skills​

  • Programming & AI: Python, R, SQL, FastAPI, LangChain, PromptFlow, ChromaDB
  • Machine Learning: LLMs, AI agent frameworks, vector databases
  • Data Engineering: ETL pipelines, data processing, semantic search
  • Cloud & DevOps: AWS, Azure, GitHub Actions, CI/CD, Docker
  • Visualization: pandas, matplotlib, Streamlit
  • Project Management: Agile methodologies, team leadership, stakeholder communication

Experience​

Director of Data Analysis, Ministry of Security, Buenos Aires Province​

Jun 2021 – Sep 2022

  • Led a team of data analysts and software developers to build an integrated analytics platform for law enforcement.
  • Deployed ML models to predict crime patterns and optimize resource allocation.

Senior AI Consultant, World Bank & Harvard Kennedy School​

Jul 2020 – May 2021

  • Designed and implemented quantitative research models for development economics projects.
  • Developed automated data pipelines and research dashboards.

University Teaching Roles, Data Science and Computer Science​

2017 – Present

  • Delivered courses on data science, Python, and AI system design.
  • Developed modular exercises, RAG architectures, and interactive Jupyter notebooks.

Selected AI Projects​

  • PromptFlow Ecosystem (2025): Designed and deployed modular PromptFlow-based agents with JSONL summarization and API integrations.
  • ChromaDB Memory System (2025): Developed embedding and session memory systems with vector clustering and error recovery.
  • Streamlit QA System (2025): Built a question-answering app with Haystack and integrated deployment pipelines.
  • AI Agent Infrastructure (2025): Architected and deployed multi-agent systems with FastAPI and LlamaIndex.
  • Email + Event Parsing Agent (2024): Developed an automated email and calendar event parser with MongoDB and RabbitMQ integration.

Education​

  • PhD in Economics, Scuola Superiore Sant'Anna, Pisa 2016 – 2020
    Focused on computational economics and nonlinear aggregation.

  • MSc in Physics, University of Buenos Aires
    2009 – 2015
    Research on modeling and simulation of complex systems.

Contact​