I'm a Computer Science student bridging the gap between Data Engineering and Behavioral AI. Currently, I build scalable data solutions while researching how Moral Foundations Theory and personality models can enhance LLM interactions.
- Data Science
- Machine Learning
- Data Engineering
- MLOps
- ETL (Extract, Transform, Load)
- Data modeling
- Machine learning algorithms and metrics
- Google Cloud Platform (currently learning)
- AWS (currently learning)
- Git & GitHub
- Linux
- ETL Pipeline and Association Rules with Python
- Exploratory Data Analysis and Clustering (EDA)
- A simple movie recommendation system (KNN)
- Some projects with neural networks
- Cashback System API
- A Python library that allows for the evaluation of psychological personalities and economic contexts using LLMs for simulation.
- Cloud data architectures
- Recommendation systems
- Natural Language Processing (NLP)
- Neural Networks
- FastAPI
- When i got time, i try golang :)