- Development of Web Applications using React - Development of Payment Gateway, Checkout, and BackOffice - Web Components, Design System, PWA, and Web Accessibility - Documentation, Observability, and Testing - Strong collaboration with Backend, UX, Product, QA, and DevOps teams

- Developed features for the **Community** and **Class** tabs for infoproducts registered on The Members platform, as well as critical flows like Login, Class Carousel, and Home screen, using Next.js, React JS, React Player, TypeScript, React Query, Zod, and React Hook Form. - Utilized Next.js for image optimization. - Adopted a mobile-first approach in the development of new functionalities. - Built components using pre-processing with Styled Components. - Maintained 46% test coverage in the codebase using TypeScript, Jest, and React Testing Library. - Refactored the production system, improving code efficiency and maintainability.

Developed web interfaces for companies such as Omega Energia, Heineken, and Nutrien, using ReactJS, TypeScript, Jest, Redux, Styled Components, Micro Frontends, and React Query.Led the frontend development for Heineken, establishing a culture of unit testing in the frontend.Designed and implemented layouts using CSS Flexbox and Grid to ensure seamless adaptation of interfaces across various screen sizes, from desktops to mobile devices.Developed Heineken's Load Portal, an online platform that streamlined the management and transportation processes for cargo.Collaborated with Product Owners and Scrum Masters to ensure product requirements were accurately implemented on the frontend.Contributed to a multi-language project at Nutrien Soluções Agrícolas, utilizing React Native with Expo Go.

- Frontend development of a responsive multi-platform E-commerce for Web using React and Mobile App using React Native - Integration with REST APIs - State management using React Context API and Redux - Implementation of the Transparency Portal of Salvador - Development of screen-reader-accessible components - Successfully delivered project for the web, now live and available

System for Identification of Linear, Surface, and Color Measurements in Venous Ulcers. Technologies: Python, OpenCV, Digital Image Processing. Advisor: Renato Lima Novais.