- Managed a team of frontend developers to deliver features in parallel, establishing patterns, architectures, and technical guidelines for development.

- Developed and implemented new React components and pages, aligning them with design prototypes, such as InDesign and Figma.- Created, maintained, and optimized Backend for Frontend (BFF) endpoints in NestJS to facilitate frontend development and improve data communication.- Adapted business rules to retrieve and process data from mongodb within spring applications with Java.

- Customized and styled carousels in React to recommend products, utilizing local storage and AI models trained based on customer data- Managed customer data in mongoDB through Express with nodejs and automating documentation with Swagger.- Administered google cloud platform to maintain and create new solutions with cloud tools such as instance template, instance groups, DNS, CDN, scheduling, Cloud Functions and others.- Development of CI/CD pipelines by configuring workflows with github actions- Implemented system authentication using Auth0 to the frontend applications and jwt token for APIs.

- Supervised and mentored interns, providing comprehensive guidance on the company's technologies, architectural principles, and business rules- Utilized Webpack Module Federation to create a microfrontend environment for horizontal delivery of React components to all company SPAs.- Managed containers with Docker and Docker-compose in a microarchitecture environment with multiple dependencies.- Maintained and developed stores and new components in frontend using React, Antd, mobx and axios in TypeScript.- Provided support for an event driven architecture using the messaging broker RabbitMQ.- Worked on bug fixes and development of new features in CPU bound applications with Spring Boot in Java and IO Bound services with nodejs.- Administered mocked data, modeling of schemas and use of database procedures in Oracle database.

- Preprocessed data from csv or excel files with pandas for use in Machine Learning methods.- Created a REST API with flask, capable of sending sales forecasts and determining product distribution recommendations over time.- Developed a React WebApp to display routes with the shortest delivery time.

- Tuning of hyperparameters using genetic algorithms of deep learning models parameters, such as its learning rate variation, mini batch size, number of epochs, among others.- Deployment of the AI models in virtual machines at AWS of a portuguese to glosa (LIBRAS in text) deep learning translator.- Research on deep learning to assist in the translation of LIBRAS into Portuguese, resulting in publication in WebMedia 2019.

- Social work in education, teaching basic computer classes for seniors and introduction to programming for children.- Support for new university students in computing, such as monitoring and creating short courses