👐 This is my personal profile. My professional profile is not open to the public.

My name is Francis and I'm a brazilian software developer with 6 years collaborating in projects in PT & EN.

Before that I worked as a chemical engineer for 10 years.

I’m currently practicing the latest trendings in AI, such as Atlas Vector Search and trained models. In these matters, you can check these repositories that are using generative AI or Vector Search:

w/ Langchain

It is a system to interact with Internet Movie Database (bulk catalogue, in localhost), create a curatory of movies, generate blogposts (all of that in Admin project locally), and after that publish the blogposts in a Blog. The project also has and two APIs, one for each frontend application.

• In admin, user can search in IMDb catalogue, create a list of favorite movies and generate blogposts.
• In blog, users can see the generated blogposts.

https://github.com/francisdiasbr/movie-search-frontend (Next project with Redux for state management)

https://github.com/francisdiasbr/movie-search-backend (Python project with Flask) Is the backend for Movie Search. The project comprehends all the endpoints the admin application needs.

https://github.com/francisdiasbr/movie-search-blog (Vite project with Redux for state management)

https://github.com/francisdiasbr/movie-search-blog-backend (Python project with Flask)

https://github.com/francisdiasbr/movie-search-adr (Markdown, in order to write the decisions in this repository)

w/ Langchain

This POC aims to categorize customer reviews using OpenAI. The analysis will be based on the comment text to assign a specific category that best describes the feedback.

• https://github.com/francisdiasbr/feedback-categorization-python

• https://github.com/francisdiasbr/feedback-categorization-js

w/ Vector Search

A complete solution for extracting, processing, storing, and searching for information about minerals in a semantic way. It illustrates the application of NLP techniques and semantic search on real datasets, providing a foundation for recommendation systems, enhanced search, and text analysis.

See the projects to learn more about each repository of the application.

• https://github.com/francisdiasbr/py-mineral-book

• https://github.com/francisdiasbr/mineral-book

Main Screen	Mineral Screen

💬 Ask me about my experience as the lead developer of the Turin App, a tourism application where I managed communication with clients, collaborated with UX/UI designers, and published the app on the iOS store.

📫 How to reach me: [email protected]