Leonardo Sensiate Email & Phone Number

São Paulo, Brasil

Campinas, São Paulo, Brasil

Development of Web applications, working both on the Backend (Backend for front) and Frontend (micro Frontend structure).The applications developing process follows the MVC pattern (Model - View - Controller) and with 100% coverage of unit tests;Responsibilities: requirements implementation, unit and integration tests, code, and documentation review.Technologies:- Typescript;- React;- HTML, SCSS;- NodeJS;- MongoDB;- Apache Kafka;- Jest;- Enzyme;- Azure;

Campinas, São Paulo, Brazil

Development, support, review, and test automation of Web applications - Frontend and Backend - that consume REST APIs;Technologies used in daily work:- Javascript;- ReactJs;- Java - Spring;- HTML, CSS and SCSS;- MySQL;- Docker;- JUnit, Jest, Cypress;- Git;

São Carlos, São Paulo, Brazil

Full Stack development (mainly back-end) using as main languages ​​and technologies: - Java;- Spring Boot;- JUnit;- Apache Kafka;- Node.js;- React;- MySQL;

São Carlos, São Paulo, Brazil

- Backend and frontend development of web systems and applications; - Analysis and implementation of requirements;- Unit tests; - System maintenance - analysis of user feedback and bug fixes.

São Carlos, São Paulo, Brazil

Scientific Initiation project, under the guidance of Professor Drª Renata Pontin de Mattos Fortes. Project sponsored by the São Paulo State Research Support Foundation (FAPESP) under case number: 2018 / 06322-3. The project, "A tool for automatic identification of dynamic components in Rich Internet Applications (RIA)", aims to develop a mechanism capable of automatically identifying dynamic components on Web pages, for later verification of the accessibility requirements of these components. After implementing the Identifier mechanism, an opportunity for continuity in the project arose, in order to allow the implementation of an adaptation of the mechanism, capable of creating a Database containing information about a certain identified RIA component, including its Classification / Recognition using AI and ML techniques. In addition to the creation of the Identification, Recognition, and Classification mechanisms, the project implementation also allowed the preparation and publication of 3 articles, 1 scientific report, and 2 project presentations at international congresses (SIGDOC 2019 and 2020).