👐 This is my personal profile. Here I share projects based on my actual needs and hobbies.

About me:

• My name is Francis and I'm a brazilian software developer with +5 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: Atlas Vector Search and trained models. In these matters, you can check these repositories that are using generative AI or Vector Search:

with Atlas Vector Search

1. Backend (Python) https://github.com/francisdiasbr/py-mineral-book
2. Frontend (React Native + Expo Managed App) https://github.com/francisdiasbr/mineral-book

An innovative real estate search platform that uses AI to understand natural language queries.

Replace complex forms with a smart search bar that understands queries like "sunny 3-bedroom apartment near subway" or "pet-friendly house with backyard under 800k".

This repo is private, but for sure we can talk about it. I made it from scratch, both api and app.

The app is available in ONLY Brazil in Apple Store. Please share your thoughts and let's talk:

https://apps.apple.com/br/app/turin-app/id6479428113?l=en-GB

with Langchain

It is a ecosystem that interact with Internet Movie Database (through bulk catalogue, in user machine), create a curatory of movies, generate blogposts (all of that in Admin project locally), and after that publish the blogposts in a online 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.

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

2. Movie Search Admin Backend: 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.

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

4. Movie Search Blog Backend:https://github.com/francisdiasbr/movie-search-blog-backend (Python project with Flask)

5. Archictecture Decision Records for Movie Search project (ADRs):https://github.com/francisdiasbr/movie-search-adr

with 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

with Atlas 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.

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

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

💬 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: francisdiasbr@gmail.com