About Me
I'm a Computer Engineering graduate with a minor in Neuroscience, passionate about building intelligent systems that connect data, behavior, and biology. I work across machine learning, signal processing, and UI-driven tools to solve real-world problems in neurotech and AI.
Projects
Optogenetics Protocol GUI
Python GUI and Arduino system for designing and triggering real-time optogenetics LED protocols. Built for neuroscience research and customizable by experimental parameters like color, frequency, and duration.
View on GitHub →Succession NLP – Sarcasm Detection
Fine-tuned BERT model to detect sarcasm in Succession character dialogue. Includes style-aware text generation and exploratory analysis of character speech patterns.
View on GitHub →IMDB Sentiment Classifier
Compared multiple machine learning models and transformer architectures on the IMDB dataset to classify movie reviews by sentiment. Includes cross-validation and performance evaluation.
View on GitHub →EEG Reaction Time Prediction
Built an SVM model to classify fast vs. slow reaction times using EEG signals. Processed brainwave data with MATLAB (EEGLAB), engineered alpha/theta band features, and automated a full ML pipeline with cross-validation and visualizations.
View on GitHub →Technologies
- Python
- TensorFlow
- MATLAB
- C++
Contact
Email: rodrigo01.aragao@gmail.com
LinkedIn: rb-aragao
GitHub: rod31