Geny Hamud
About Geny Hamud
Geny Hamud is a Senior Back Engineer Manager at TOTVS Labs, where he focuses on enhancing platform performance and developing algorithms for machine learning. He has a background in Information Technology and Software Engineering, with extensive experience in various roles across Brazil and the United States.
Work at TOTVS
Currently, Geny Hamud serves as a Senior Back Engineer - Manager at TOTVS Labs, a position held since 2018 in Raleigh, North Carolina. In this role, he focuses on enhancing platform performance, emphasizing availability, velocity, and volume. His responsibilities include developing and implementing algorithms and techniques to improve data streaming and search engine capabilities, particularly for machine learning and prediction models. Prior to his current role, he worked at TOTVS as a Software Engineer from 2011 to 2015 in the Joinville Area, Brazil.
Education and Expertise
Geny Hamud holds a Bachelor's degree in Information Technology from Universidade Federal do Paraná, which he completed from 2005 to 2008. He also pursued a Post-Graduation in Software Engineering at SENAI/SC - Serviço Nacional de Aprendizagem Industrial, studying from 2008 to 2010. His educational background provides a solid foundation for his expertise in software development, data algorithms, and machine learning applications.
Background
Geny Hamud has a diverse professional background in software development and engineering. He began his career as a System Analyst at Atos in 2008 and transitioned to various roles, including Java Developer at HSBC and Software Developer at Agrotis Agroinformática. He also worked as a Professor at UniBrasil from 2010 to 2011, contributing to the education sector in the Curitiba Area, Brazil. His experience spans multiple companies and roles, showcasing his adaptability and technical proficiency.
Achievements
Throughout his career, Geny Hamud has contributed to various projects that focus on building scalable and reliable platforms in fast-paced environments. His work has included enhancing data streaming capabilities and developing algorithms for machine learning and prediction models. These contributions reflect his commitment to improving technology solutions and platform performance.