{"id":69,"date":"2025-04-29T16:49:35","date_gmt":"2025-04-29T19:49:35","guid":{"rendered":"https:\/\/grasso.net.ar\/?page_id=69"},"modified":"2025-04-30T18:17:50","modified_gmt":"2025-04-30T21:17:50","slug":"projects","status":"publish","type":"page","link":"https:\/\/grasso.net.ar\/es\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"
Note: Complete listing here<\/a><\/strong><\/p>\n PRECARINA on TV<\/a><\/p>\n Description:<\/span><\/strong>\u00a0Led end-to-end development (Flutter) and publication (App Store\/Google Play) of a mobile app for Ricardo Guti\u00e9rrez Children’s Hospital. Integrated a TensorFlow Deep Learning model for Body Mass Index (BMI) percentile estimation in children.<\/span><\/p>\n<\/li>\n Role:<\/span><\/strong>\u00a0Development Lead, AI Integration.<\/span><\/p>\n<\/li>\n Technologies:<\/span><\/strong>\u00a0Flutter, Dart, TensorFlow, Deep Learning, Mobile App Development (iOS\/Android).<\/span><\/p>\n<\/li>\n Outcome:<\/span><\/strong>\u00a0Presented at the 8th World Congress of Pediatric Cardiology and Cardiac Surgery (Washington D.C., 2023).<\/span><\/p>\n<\/li>\n<\/ul>\n Description:<\/span><\/strong>\u00a0Designed 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.<\/span><\/p>\n<\/li>\n Role:<\/span><\/strong>\u00a0System Design, Development.<\/span><\/p>\n<\/li>\n Technologies:<\/span><\/strong>\u00a0Large Language Models (LLMs), Vector Search, SOLR, Python, Information Retrieval.<\/span><\/p>\n<\/li>\n<\/ul>\n Description:<\/span><\/strong>\u00a0Currently contributing to research at Universidad Tecnol\u00f3gica Nacional (UTN) focused on determining grain quality using computer vision techniques. Involves developing algorithms, implementing machine learning models, and optimizing for practical application.<\/span><\/p>\n<\/li>\n Role:<\/span><\/strong>\u00a0Researcher, Algorithm Developer.<\/span><\/p>\n<\/li>\n Technologies:<\/span><\/strong>\u00a0Computer Vision, OpenCV, Python, Machine Learning.<\/span><\/p>\n<\/li>\n<\/ul>\n Description:<\/span><\/strong>\u00a0Created a web-based system using Flutter Web and PostgreSQL for managing diagnostic data specifically for the Cardiology department at Ricardo Guti\u00e9rrez Children’s Hospital.<\/span><\/p>\n<\/li>\n Role:<\/span><\/strong>\u00a0Full-Stack Development.<\/span><\/p>\n<\/li>\n Technologies:<\/span><\/strong>\u00a0Flutter Web, Dart, PostgreSQL, Database Management.<\/span><\/p>\n<\/li>\n<\/ul>\n Description:<\/span><\/strong>\u00a0Actively 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).<\/span><\/p>\n<\/li>\n Technologies:<\/span><\/strong>\u00a0Python, PyTorch, React, Dart, Ktor, LLMs, LangChain, TensorFlow, Docker, JavaScript, etc.<\/span><\/p>\n<\/li>\n Link:<\/span><\/strong>\u00a0<\/span>(Optional: Add a link to your GitHub profile here later)<\/span><\/p>\n<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":" Featured Projects Note: Complete listing here PRECARINA Mobile App (Healthcare AI) PRECARINA on TV Description:\u00a0Led end-to-end development (Flutter) and publication (App Store\/Google Play) of a mobile app for Ricardo Guti\u00e9rrez Children’s Hospital. Integrated a TensorFlow Deep Learning model for Body Mass Index (BMI) percentile estimation in children. Role:\u00a0Development Lead, AI Integration. Technologies:\u00a0Flutter, Dart, TensorFlow, Deep … Leer m\u00e1s<\/a><\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-69","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/pages\/69","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/comments?post=69"}],"version-history":[{"count":7,"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/pages\/69\/revisions"}],"predecessor-version":[{"id":117,"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/pages\/69\/revisions\/117"}],"wp:attachment":[{"href":"https:\/\/grasso.net.ar\/es\/wp-json\/wp\/v2\/media?parent=69"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}PRECARINA Mobile App<\/a> (Healthcare AI)<\/span><\/strong><\/h3>\n
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Semantic Search System (LLM Application)<\/span><\/strong><\/h3>\n
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Computer Vision Research (Grain Quality Analysis)<\/span><\/strong><\/h3>\n
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Diagnostic Database Management System<\/span><\/strong><\/h3>\n
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GitHub Project Highlights & Explorations<\/span><\/strong><\/h3>\n
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