Guilherme Lepsch

Guilherme Lepsch

Desenvolvedor Sênior Full Stack @ Duckly

About Guilherme Lepsch

Guilherme Lepsch is a Senior Full Stack Developer at Duckly in San Francisco, California, with extensive experience in software development and a strong background in various programming languages and frameworks.

Work at Duckly

Guilherme Lepsch has been employed at Duckly as a Senior Full Stack Developer since 2020. His role involves utilizing a range of technologies and frameworks to develop and enhance software solutions. Based in San Francisco, California, he has contributed to various projects that focus on improving user experience and system performance.

Previous Employment History

Prior to joining Duckly, Guilherme worked at BairesDev as a Senior Python Developer from 2017 to 2020. He also held positions at Audaces Automação e Informática Industrial as a Developer from 2013 to 2014, and at Grupo Nexxera as a Software Architect from 2015 to 2017. His early career included roles as a Software Developer at Tecgraf PUC-Rio / Petrobras and as a Programming Intern at JM2.

Education and Expertise

Guilherme Lepsch earned a Bachelor's degree in Computer Science from Universidade Federal Fluminense, where he studied from 2002 to 2006. He possesses extensive expertise in frameworks and APIs such as Flutter, NodeJS, React, Flask, Django, and .NET Core. His skills also include designing interactive user interfaces with a focus on usability and accessibility.

Technical Skills and Proficiencies

Guilherme has a strong background in microservices architecture and continuous integration. He is skilled in containerization technologies and algorithm optimization. His programming language proficiency includes C, C++, C#, Dart, Delphi, Fortran, Python, and Typescript. He is familiar with various database systems, including MySQL, SQLite, SQLServer, Oracle, Mongo, Redis, and DynamoDB.

Development Methodologies

Guilherme Lepsch employs development processes such as eXtreme Programming, SCRUM, and Kanban in his work. He is adept with tools including Docker, RAD Studio, Visual Studio, Eclipse, NetBeans, and various version control systems. His approach emphasizes code refactoring and data mining to enhance software quality and performance.

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