Working in the Content Discovery team, I contribute to optimizing the search infrastructure and the implementation of cutting-edge recommendations for the main product. My responsibilities involve collaborating with a team to improve the search functionality built upon a microservices architecture, utilizing technologies such as NodeJS, Redis, ElasticSearch, RabbitMQ, MySQL, and Docker. I actively participated on recommendation projects, in which we crafted an architecture to integrate our in-house algorithms with AWS services, including Personalize, to establish a recommendation API using Python, and FastAPI. Additionally, I've worked on a project aimed at developing a service capable of extracting content from diverse materials such as documents, videos, and images. To achieve this, the team opted for the implementation of Amazon Transcribe and Textract, services available in the AWS.My activities include coding, writing tests, reviewing pull requests, refining sprints, documenting, and discussing architecture and good software practices.

At SENAI, I worked as a full-stack Software Engineer, actively involved in planning and building proof-of-concept projects focusing on innovation for Brazilian industry. My role comprised planning and building services using technologies such as React, NodeJS and MongoDB.

I joined TOMUS as an intern and contributed to the development of a platform for waste collection management, incorporating geographic location tracking for efficient collection. In this project, I employed AngularJS, NodeJS, and PostgreSQL. Additionally, I designed a dashboard using JavaScript, ElasticSearch, and Docker, offering a comprehensive visualization of data related to water distribution through tankers in northeastern Brazil.My work, besides coding and creating queries, also involved building analytic dashboards, exploring the company’s services and integrations.

Study and appliance of data cleaning techniques for an ongoing project of airfare prediction under supervision of Prof. Luciano Barbosa.

Supervising/guiding different groups in their SQL database projects

Brazilian Ministry of Education’s program for undergraduate through the formation of a 12-student group under direct supervision of a Ph.D. tutor Fernando da Fonseca de Souza. PET is a group focused on research, teaching and extension programs with activities both related and unrelated to computer science.

Teaching additional lectures and supervising/guiding students in their JAVA projects