Dementia Prediction

Deployed Large Language Model

This project was a collaboration between UdeSA and me to develop an automatic dementia detector. The model was finetuned from the spanish 'Longformer Narrativa' model. The data for training and testing was given by UdeSA (Centro de Neurociencias Cognitivo), and it is subject to intellectual properties right.

Note that the model was trained for spanish only speakers. Otherwise i can't guaranteed the predicted accuracy.

The model weights 500mb for alzheimer disease, and 500mb for FTDbv disease. So both of them won't fit inside a free web host. So the way i found to share to you is through a tunneling to my personal computer.

To try this out, please ask me to run the server. And visit the following link

Animatronic

Dinosaur Talking Head

This Project consists of a Dinosaur Head, whose eye balls moves, it can repeat a recorded sound (a dinosaur roar in my case), it has a moving neck (up-down) His skin was made out of Latex, which unfortunatelly did not stand the test of time. The other drawback is that it was designed to hang on the wall, but it turned out to be too heavy. Its structure was made of wood with a counterweight made of lead.

I know it is a dissaster right now, sorry for that, this project was time consuming, but funny to do

Body Health

Hardware Engineer

I’ve developed hardware circuits for improving High Tech Medical Equipment’s quality related to skin health. Also i was actively contributing fixing any sort of issues that arise day to day.

UdeSA (CNC)

Data Science

NLP Internship, where i developed a Natural Language Processing model (from scratch) for predicting Alzheimer and Frontotemporal dementia with acc > 73% with α < 0.05

Electronic Engineer

Specialized in Signal Processing and Control Systems

UBA Facultad de Ingenieria

Electrical Technician

Oriented in Industrial Electronics

E.T. Nº9 Ing. Luis A. Huergo

MongoDB with Python

Book: Niall O'Higgins

A straightforward book about Hands on MongoDB with Python

INTRO TO DATABASE SYSTEMS

Instructor: Crotty Andrew, Lin Ma

This course is about building a database from scratch, they teach you what are the ACID properties, what a transaction is, what is concurrency control, and so on... Note, that from this course i just have taken notes, but haven't implemented a real DBMS

Django

Instructor: Juan Diaz.

I have revisited the python's Django framework

Computer Vision

Instructor: Richard Radke.

I've revisited Computer Vision foundations.

MySQL

Instructor: Giraffe Academy.

I've introduced into MySQL database system.

Deep Reinforcement Learning

Book: Maxim Lapam.

This book teaches you how to train an AI agent, some project it proposes include 1. A trading bot (though it is too weak for comercial use) 2. AI agent for ATARI games

Stanford CS224N

Instructor: Christopher Manning.

I've introduced into the Large Language Models.

Machine Learning with Graphs

Instructor: Jure Leskovec.

Even i didn't finished the entire coursework, i still have gain, some deep understanding about probabilitic graph theory. Things i've learn here, had opened my mind into a new kind of models based on graphs. For example how the Covid Virus spreads between people, or how to invest minimal resources to maximize your product exposure to the public.

MIT AI 6.034

Instructor: Patrick Winston.

I've introduced into the Artificial Intelligence world.

Machine Learning

Instructor: Andrew Ng.

I've introduced into Machine Learning.