Use Data AI

Studied Data Science at the University of Buenos Aires, specialized in Statistics and Large Language Models.

Completed a thesis on turn transition classification in spoken conversations using LLMs and deep learning architectures.

Developed a fully automated trading algorithm at Asesores Inteligentes, achieving a 19% annual return on the QQQ index using models like LightGBM.

Currently teaches AI Engineering at the Universidad de San Andrés, preparing future leaders in artificial intelligence.

Built an intelligent system to compose API workflows from natural language inputs using LLMs and multi-agent architecture, streamlining integrations from unstructured API documentation.

Studied both Data Science and Mathematics at the University of Buenos Aires.

At Marvik, led projects involving diffusion-based generative AI including:
- A virtual try-on system for fashion e-commerce.
- A clothing texture designer that applies user-selected fabric textures to clothing designs.
- A leadership detection system for corporate meeting   videos, integrating emotion recognition, diarization, transcription, and multi-agent modeling.

Led machine learning initiatives at Meridional Insurance, including a retention prediction model to optimize pricing strategies and increase profitability, as well as NLP pipelines for resume classification.

At Equifax, contributed to the development of credit scoring models, conducted research in Bayesian statistics and machine learning, and implemented robust systems in Python.