Mathias Claassen
Machine Learning Engineer at Xmartlabs
Uruguay
Summary
🤩
Rockstar🎓
Top SchoolMathias Claassen is a Machine Learning Engineer with 11 years of experience combining iOS engineering and on-device ML, currently building ML-enabled products at Xmartlabs from Uruguay. He has a strong open-source track record in Swift and SwiftUI—contributing to popular UI libraries like XLPagerTabStrip and XLForm—and has implemented performance-sensitive neural network layers and Metal shaders for mobile inference. Comfortable across Swift and Objective-C, he bridges mobile UX concerns and low-level ML optimizations, having migrated legacy projects to modern Swift versions while fixing subtle binding and layout bugs. Colleagues know him for pragmatic, maintainable solutions and for bringing practical ML into production apps, plus an active interest in sports and community-driven engineering.
11 years of coding experience
5 years of employment as a software developer
Engineer’s Degree, Computer Software Engineering, Engineer’s Degree, Computer Software Engineering at Universidad de la República
Spanish, German, English
Stackoverflow
557reputation
21kreached
16answers
0questions
Github Skills (24)
objective-c10
dynamic-forms10
ios10
convolutional-neural-networks10
machine-learning10
swiftui-app10
metal10
deep-learning10
neural-network10
swift10
swiftui10
ui-design9
deep-neural-networks9
carthage8
cocoapods8
Programming languages (10)
Github contributions (5)
xmartlabs/Bender
May 2017 - Aug 2021
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 48 commits, 55 PRs in 4 years 4 months
Contributions summary:Mathias primarily contributed to the development of neural network layers for iOS using Swift and Metal. Their work involved implementing and adapting existing network layers, defining core protocols for network items, and modifying layers for instance normalization and transposed convolutions. They also created compute pipeline states and managed metal shaders for model conversion.
iosneural-networktensorflow-modelmachine-learningneural-networks
xmartlabs/XLForm
Apr 2015 - Mar 2021
XLForm is the most flexible and powerful iOS library to create dynamic table-view forms. Fully compatible with Swift & Obj-C.
Role in this project:iOS Mobile Developer
iOS Mobile DeveloperContributions:9 releases, 5 reviews, 149 commits in 6 years
Contributions summary:Mathias primarily contributed to the `xlform` library, focusing on enhancing form functionality. Their work included adding the ability to disable or hide form rows based on predicates and conditions. The user implemented features like conditional row visibility, integrating predicate logic, and incorporating new functionalities like onChange blocks to the form rows, demonstrating a strong understanding of form management and iOS development. These additions increased the flexibility and control over dynamic forms.
ios-libraryswiftxlformobjective-cdynamic-forms
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