I am a Bubble developer with 3 years of experience in Bubble development, as well as knowledge and practical expertise in low-code tools such as Flutterflow, N8N and Supabase. I have high-code technical skills in HTML, CSS, and JavaScript, as well as expertise in Amazon AWS services. I create custom solutions to help companies and entrepreneurs solve problems and turn their ideas into digital solutions.
An artificial intelligence-based application for creating pedagogical proposals based on the BNCC curriculum guidelines, using the concept of Project-Based Learning (PBL) for educators of lower secondary school classes. The system features a frontend built in Bubble, a backend in Supabase, and integration with OpenAI.
This project is an e-commerce system focused on the women's clothing segment. It is built as a SPA (Single Page Application), fully responsive, with fast loading and smooth screen transitions. It features API integration with the Asaas payment system and includes an admin panel for internal management and registration of products, inventory, customers, and orders.
Team management application for schools, in a SaaS (Software as a Service) format, responsive and built as a SPA (Single Page Application). It features API integration with the Asaas payment system.
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Task management web app for school instructional coordinators, designed for recording and documenting events related to students, classes, and other team members. Additionally, it features an AI-powered automation integrated with WhatsApp via N8N, hosted on an AWS EC2 instance.
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Behavior management web app for elementary school teachers, based on Social Emotional Learning and Gamification.
Facial recognition functionality for images of faces, using integrations with: AWS Lambda to run the Python script responsible for executing the actions; AWS S3, a storage service, to store the uploaded images; AWS Rekognition, a computer vision service, to compare the images; and AWS API Gateway to create an API for communicating with the Lambda function.
Feature for generating natal charts and astrological transits based on the user's birth data, through integrations with: AWS EC2, to host and run the Python script responsible for triggering the actions; Swiss Ephemeris API, the library responsible for generating the astrological data; and OpenAI, which interprets the generated data and provides an astrological analysis based on it.
It is a plugin created to solve an internal issue for a specific project. This plugin returns the days of a specific month in a given year.
This plugin returns the extension of an uploaded image file.
This plugin helps both to upload and delete files from an AWS S3 bucket easily.
For proposals, quotes, or inquiries, feel free to contact me.
