Felipe Wu
About Felipe Wu
Felipe Wu is a Software Engineer at EBANX in Curitiba, Brazil, where he has worked since 2020. He holds a Bachelor's degree in Computer Science from UFPR and is currently pursuing further studies in Software Architecture, Data Science, and Cybersecurity.
Work at EBANX
Felipe Wu has been employed as a Software Engineer at EBANX since 2020. He works in Curitiba, Paraná, Brazil, contributing to the company's software development efforts. His role involves utilizing his technical skills to enhance the company's products and services, aligning with EBANX's mission to facilitate cross-border payments in Latin America.
Education and Expertise
Felipe Wu is currently pursuing advanced studies at the Catholic Pontiff University of Paraná, focusing on Software Architecture, Data Science, and Cybersecurity. He has been working towards a Lato Sensu degree since 2021. He graduated from the Federal University of Paraná (UFPR) with a Bachelor of Computer Science, which laid the foundation for his interest in technological innovations.
Background
Felipe Wu has a multicultural background, combining Brazilian and Taiwanese heritage. This diverse cultural perspective may influence his approach to technology and communication. He has lived and worked in Curitiba, Paraná, Brazil, where he has built his career in software development and technology.
Previous Work Experience
Prior to his current role at EBANX, Felipe Wu gained experience in various positions. He worked as a PHP developer at Ecomp - Empresa Júnior de Informática da UFPR from 2015 to 2016. He also served as Director of Communication at Ecomp in 2016. Additionally, he worked as a Developer at C3SL - Centro de Computação Científica e Software Livre from 2016 to 2017. He has also worked as a freelance Mandarin Interpreter during 2015 to 2016.
Career Focus
Felipe Wu is currently focusing on becoming a data scientist. He is dedicating significant effort to his studies in this field, aiming to enhance his skills and knowledge in data analysis and interpretation. This focus aligns with the growing demand for data-driven decision-making in various industries.