At a Private Company, I’m developing an AI-powered chatbot for medical tools and surgical procedures. I apply LLMs, RAG, and natural language processing to retrieve and validate information from medical databases.
At the Institute of Ecology and Biodiversity (IEB), I participate in research on seed dispersal and cactus morphology. I analyze multispectral drone imagery with computer vision and machine learning to identify plants in complex environmental datasets.
For my undergraduate thesis at Universidad Tecnológica Metropolitana, I developed and evaluated machine learning models to predict movement intention from sEMG signals using Spiking Neural Networks. I also assessed model performance for real-time use and assistive technology applications.
As a Software Engineering Intern at Deliryum, I developed and implemented computer vision and artificial intelligence solutions for security applications, including object tracking and segmentation model integration. My projects also include a Python web scraper for perfume data and a Telegram bot for book update notifications.
