LLM + RAG for public brazilian companies
This project combines Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) to efficiently answer queries about public Brazilian companies. I’ve used PostgreSQL to …
I enjoy making things. Here are a selection of projects that I have worked on over the years.
This project combines Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) to efficiently answer queries about public Brazilian companies. I’ve used PostgreSQL to …
There is a big challenge into designing a manual reward function to optimize sequential decision making during epidemics/pandemics. Thus, I proposed to use Inverse Reinforcement …
Providentia Forecasting is a service to do demand forecasting focused on the industry sector. The general idea is that any person could generate forecasts based on multiple …
This project objective was to use Machine Learning models to predict which legislative representative of Brazil would vote in favor or oppose to the impeachment of Brazilian …
This project objective was to compare risk-free rate of Brazil (SELIC/CDI) versus equity returns measured by the Ibovespa Index (IBOV). I gathered data from the time-series …
The objective of this project was to build the best team of soccer given some budget in FIFA. The general idea was to do something similar to theMoneyball film or the book. In this …
I’ve made some open-source contributions to different open-source projects, see some list below: scikit-learn/scikit-learn TechEmpower/FrameworkBenchmarks meanjs/meanjs …