Featured Projects

Note: Complete listing here

PRECARINA Mobile App (Healthcare AI)

PRECARINA on TV

  • Description: Led end-to-end development (Flutter) and publication (App Store/Google Play) of a mobile app for Ricardo Gutiérrez Children’s Hospital. Integrated a TensorFlow Deep Learning model for Body Mass Index (BMI) percentile estimation in children.

  • Role: Development Lead, AI Integration.

  • Technologies: Flutter, Dart, TensorFlow, Deep Learning, Mobile App Development (iOS/Android).

  • Outcome: Presented at the 8th World Congress of Pediatric Cardiology and Cardiac Surgery (Washington D.C., 2023).

Semantic Search System (LLM Application)

  • Description: Designed and developed an LLM-based semantic search system for ERREPAR S.A. (a leading Argentinian provider of legal and tax information), leveraging vector search implementation for enhanced information retrieval.

  • Role: System Design, Development.

  • Technologies: Large Language Models (LLMs), Vector Search, SOLR, Python, Information Retrieval.

Computer Vision Research (Grain Quality Analysis)

  • Description: Currently contributing to research at Universidad Tecnológica Nacional (UTN) focused on determining grain quality using computer vision techniques. Involves developing algorithms, implementing machine learning models, and optimizing for practical application.

  • Role: Researcher, Algorithm Developer.

  • Technologies: Computer Vision, OpenCV, Python, Machine Learning.

Diagnostic Database Management System

  • Description: Created a web-based system using Flutter Web and PostgreSQL for managing diagnostic data specifically for the Cardiology department at Ricardo Gutiérrez Children’s Hospital.

  • Role: Full-Stack Development.

  • Technologies: Flutter Web, Dart, PostgreSQL, Database Management.

GitHub Project Highlights & Explorations

  • Description: Actively explore and implement AI and development concepts through personal projects and coursework. Repositories include experiments with AI Agents (Hugging Face, LangGraph, LlamaIndex), PyTorch deep learning exercises, React prototypes, Ktor/Dart server implementations, and various AI/ML course projects (IBM AI Engineering, Vanderbilt, Coursera).

  • Technologies: Python, PyTorch, React, Dart, Ktor, LLMs, LangChain, TensorFlow, Docker, JavaScript, etc.

  • Link: (Optional: Add a link to your GitHub profile here later)

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