Leandro Damasio. Welcome to My Personal Page

Tecnologias: Python, Django, React, Docker, Kubernetes, Git

This project focuses on developing a robust fraud detection system using machine learning algorithms. It compares the performance of two popular ensemble methods: Random Forest and XGBoost, in classifying financial transactions as fraudulent or legitimate. The models are trained and evaluated on a real-world financial dataset.

Tecnologias: random forest, xgboost, scikit-learn, pandas, numpy

Car financing system developed with Django, Next, Shadcn, Docker, Kubernetes and Git.

Tecnologias: Django, Next, Shadcn

This project showcases the development of an intelligent chatbot using the powerful GPT-4 language model and the LangChain framework. It demonstrates how to build a conversational AI capable of understanding and responding to user queries in a natural and engaging way.

Tecnologias: gpt-4, langchain, openai, python

A RESTful API in Python, using FastAPI, that allows the creation, reading, updating and deleting of vehicle records, with basic authentication and automatic documentation. It was built with TDD and uses libraries like pydantic, SQL Alchemy, Alembic, PyJWT, argon2.

Tecnologias: python, fastapi, sql alchemy, alembic, pyjwt, argon2, pydantic

Space Backend - A robust backend built with Laravel, offering a RESTful API for the frontend. It uses modern architecture patterns to ensure scalability and maintainability.

Tecnologias: PHP, Laravel, MySQL, Docker, Kubernetes, Git