Felipe Muniz
Software Designer Concepteur Logiciel at EXFO
Quebec, Canada
Summary
👤
Senior🎓
Top SchoolFelipe Muniz is a seasoned .NET software designer with over a decade of experience building robust web and client-server systems across Brazil and Canada. He combines strong TDD and Agile practice with disciplined SOLID design to deliver maintainable solutions using C#, .NET Core, ASP.NET/MVC, WebAPI and SQL Server. Comfortable across the full stack, Felipe has shipped front-end features with Flutter, React, Angular, MAUI and Vue.js while modernizing legacy systems and creating microservices for enterprise domains like finance, transportation and network monitoring. Currently at EXFO he is shaping a next-generation 4G network monitoring application, producing POCs and driving CI/CD with GitLab. His background working in multicultural teams and hands-on experience from Windows Forms to cloud-ready microservices gives him a pragmatic perspective on migrating and scaling complex systems. Passionate about game networking and Xamarin-certified, he blends curiosity-driven side interests with steady delivery in production environments.
10 years of coding experience
6 years of employment as a software developer
Universidade de Fortaleza - UNIFOREstácio de Sá University
Portuguese, English, French
Stackoverflow
63reputation
24kreached
0answers
1question
Github Skills (100)
minecraft10
windows10
websocket10
cmake10
visual-studio10
cpp10
game-development10
udp10
rudp10
linux10
dotnet10
socket10
versioning10
cross-platform10
network10
Programming languages (13)
Github contributions (5)
Mun1z/INFO-X
Mar 2016 - Mar 2016
Contributions:41 commits, 33 pushes, 1 branch in 13 days
MUN1Z/ml-git
Oct 2020 - Jul 2025
ml-git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. ml-git enables the following operations. Manage a repository of different datasets, labels and models. Versioning immutable versions of models, labels and documents. Distribute these ML artifacts between members of a team or across organizations. Apply the right data governance and security models to their artifacts.
Contributions:1 push, 19 branches in 4 years 10 months
organizationsversion-controldata-sciencedata-governancemembers
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