Know yourself using AI. Allow specialists to help you. Improve your life.
Python
Django
Machine learning
AI
CI/CD
Large Language Model (LLM)
REST API
AWS S3
EC2
AI Agent
React
FastAPI
Temet is your privacy-first AI assistant that lives on your computer. Its main power comes from its ability to read, understand, and help you work with your own documents, securely. Add folders from your computer to give Temet context. Once a folder is "indexed", the AI can answer questions based on its contents, summarize documents, and more. Examples: For a lawyer: Add a folder of laws and contracts and use AI to cross-examine both. For a doctor: Have patients share their medical history folders for a complete, AI searchable overview. For you: Use voice chat to create a daily journal, with each entry saved as a file in a "Diary" folder so you can ask questions about your objectives and milestones. Your data never leaves your computer unless you choose to share it. When you share a folder, Temet creates a direct, encrypted peer-to-peer connection to the other user's app. No central servers are involved in the transfer.
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Application to manage company back office
Python
Django
Bootstrap
Material Design
PostgresQL
RabbitMQ
Celery
AWS
MongoDB
DRF
Docker
docker-compose
REST API
EC2
This was an exceptionally challenging project, only matched by its great success. A platform to deal with the data, manipulation and export of multiple team assets, such as weather data ingestion from API endpoints, automation with Celery and RabbitMQ, MongoDB data read, CSV/Excel easy exports, SSO auth integrated with the company's Azure Tenant and a Machine Learning internal solution that helped the sales team quickly compare all time-series of the company with prospects requirements by context similarity.
Free Project Management Platform
Python
Django
AWS
DRF
Docker
docker-compose
Nginx
SSL
CI/CD
REST API
AWS S3
EC2
React
Built to empower individuals and organizations driving positive change, it offers versatile Table, Board, and Roadmap views to suit any workflow. Promote your project on the home page and allow volunteers to pick up tasks.
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GPT, RAG and Agent modal interface
Python
Bootstrap
OpenAI
Machine learning
AI
Large Language Model (LLM)
Flask
Ollama
HuggingFace
Embedding
AI Agent
Explore the power of Retrieval-Augmented Generation (RAG) and agent-based pipelines with this adaptable platform. Your Local RAG Agent GPT supports local and API model execution, integrates tools like Llama Index and LangChain, and offers modules for various workflows. Easily manage documents and databases to create efficient AI-driven solutions tailored to your needs. A work in progress with more features coming soon!
Github
It's ChatGPT on steroids - You upload a document and instantly augment it with your data!
Python
AWS
OpenAI
Machine learning
AI
CI/CD
Large Language Model (LLM)
REST API
AWS CDK
AWS Lambda
AWS S3
Flask
The application is an advanced version of ChatGPT that allows users to upload a document and augment ChatGPT's responses with data from their uploaded file. It is a prototype designed to showcase CI/CD Github actions pipeline, AWS services (CDK, Lambda running Flask, and S3) and the capabilities of Large Language Models (LLM) using the Retrieval-Augmented Generation (RAG) technique.
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A successful project
PMI
Agile
I was hired to work on this project when it was already very problematic and starting to show signs of catastrophic failure. In less than a month of me working on it, the client was happy, features were being developed in time and value was delivered every single sprint. The project consisted of three websites, two chat-bots coded from scratch and a platform for health insurance companies to offer their clients a central hub of information. It was an extremely proud for me as a project manager.
www.saluto.group
Award winning entertainment app
PMI
Agile
The theatre sector was suffering from a lack of public communication in Rio de Janeiro, and to make things worst, newspapers and magazines were not listing plays on their publications anymore, so I decided to create an app that producers could publicize their plays for free and users could check plays info and even buy tickets on the app. The business model consisted in advertised premium spaces in the app for plays that would pay for such positions. Unfortunately the sector was not mature enough and we eventually had to shut down operations. In the meantime, the most prestigious theatre event in the state awarded us in the Special Category for the app.
Research on recyclable materials
Recycling
This was a proof of concept for IDETRA as we wanted to show that is possible to gather wasted materials and use them to produce water, food, fertilizer, electric energy, and heat. The only non-recycled components of the project were the solar panels, but it is know that they are being found intact in recycling centres. Check out the videos showcasing the final products on the link below.
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