Web table editor — LIFT Learning (Central Bank)

Context

Financial technology web application created through the LIFT Learning program — an initiative involving Fenasbac and the Central Bank of Brazil — focused on innovative solutions for Brazil’s financial system. The product required an interactive table manipulation experience inspired by spreadsheet capabilities.

My role

As a Full Stack Engineer, I built the application from the ground up according to client requirements, implementing the table experience on the frontend and supporting full-stack delivery with Python and Django REST Framework.

Key challenges

• Delivering an application from scratch, aligned with client requirements and the program schedule.
• Implementing a complex interactive table interface inspired by spreadsheet capabilities.
• Coordinating frontend and backend work in a context of agile ceremonies and continuous requirements validation.

Solutions implemented

• Built the application with React.js, TypeScript, and Chakra UI, focused on frontend architecture and data table interfaces.
• Supported full-stack delivery with Python and Django REST Framework and REST API integration.
• Participated in planning, daily meetings, and retrospectives to coordinate implementation, validate requirements, and deliver on schedule.
• Used practices and tools such as Storybook, Jest, and Docker in the quality and delivery workflow.

Results

• Product delivered within the expected LIFT Learning project schedule.
• Interactive table experience aligned with client needs and the financial domain.
• Coordinated full-stack delivery with continuous requirements validation throughout the agile cycle.