João V.
Full-stack Product Engineer

Skills

Ruby On Rails

Cascading Style Sheets

Ruby

Github

Html

Javascript

Postgresql

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Bio

A student of Computer Network Technology at the Federal Institute of Education, Science and Technology of Ceará - Jaguaribe Campus, currently occupying a role as a web developer with a focus on feature development and maintenance utilizing Ruby on Rails.

Software Developer
1/1/2023 - Present

Developed and maintained features utilizing the Ruby/Ruby on Rails framework. Conducted thorough code reviews to ensure high-quality standards and provided support for new developers and interns. Demonstrated proficiency with technologies such as Git for version control, Postgres for database management, and implemented Scrum and Kanban methodologies to streamline project workflows and improve team productivity.
Web Developer
9/1/2021 - 1/1/2023

Developed and maintained features using the Ruby/Ruby on Rails framework, specifically within REST API environments. Engaged in the development and maintenance of automated tests to ensure software quality. Acquired expertise in using technologies such as Ruby on Rails, Git for version control, and Postgres for database management. Applied agile methodologies including Scrum and Kanban to manage and streamline workflows.
Web Developer
10/1/2020 - 9/1/2021

Developed and maintained features utilizing the Ruby on Rails framework. Acquired proficiency in Ruby and the Rails ecosystem, with extensive experience in version control using Git. Demonstrated expertise in managing databases with PostgreSQL and effectively implemented and participated in Scrum methodologies for agile project management.
Academic Researcher
8/1/2019 - 7/1/2020

Developed a computational tool to assist in diagnosing laryngeal diseases utilizing digital voice signal processing and artificial intelligence techniques. Achieved significant proficiency in using MatLab for signal processing, algorithm development, and data visualization. The project involved designing and implementing workflows that automate the analysis of voice signals, optimizing algorithms for accuracy and efficiency, and validating the tool against a dataset of laryngeal disease symptoms. Enhanced capabilities in computational modeling, machine learning, and developing diagnostic algorithms. The work also strengthened skills in handling large datasets, performing statistical analyses, and ensuring the reliability and validity of diagnostic outputs.