Fernando Stopasola
About Fernando Stopasola
Fernando Stopasola is a Full Stack Engineer with extensive experience in Ruby on Rails and a strong focus on Computer Vision, Artificial Intelligence, and Data Structures. He has worked for several companies in Brazil and currently holds a position at Streetbees in London.
Work at Streetbees
Currently, Fernando Stopasola serves as a Full Stack Engineer at Streetbees, a position he has held since 2022. His role involves developing and maintaining web applications, leveraging his expertise in full-stack development. He contributes to various projects that enhance the company's data collection and analysis capabilities.
Previous Experience in Software Development
Fernando has a diverse background in software development. He worked as a Software Engineer at Tenchi Security for six months in 2022, where he focused on building secure software solutions. Prior to that, he was a Back-end Developer at Alfacon Concursos Públicos from 2020 to 2021, contributing to the development of educational platforms. He also completed a web development internship at Engegov Governança em Obras Públicas in 2019.
Education and Expertise
Fernando studied Information Technology at Universidade Estadual do Oeste do Paraná, where he earned his degree as a Computer Scientist from 2015 to 2019. His academic focus included key areas such as Computer Vision, Artificial Intelligence, and Data Structures, which have shaped his technical skills and interests in the field.
Technical Skills and Contributions
Fernando possesses extensive experience in Ruby on Rails, particularly in full-stack web development. He has worked on enhancing web applications by integrating Machine Learning algorithms for data enrichment. Additionally, he implemented data integration solutions using Kafka and AWS SQS tools, demonstrating his ability to work with modern technologies and improve system efficiencies.
Impact on Employee Efficiency
Fernando contributed to a significant increase in employee efficiency by refactoring the human interaction pipeline in the data enrichment process, achieving a 30% improvement. This initiative highlights his capability to analyze and optimize workflows within software systems.