Daniel Nugraha
Machine Learning Engineer at Flower Labs
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolDaniel Nugraha is a Machine Learning Engineer based in Munich with five years of experience building on-device ML and federated learning solutions. At Flower Labs he transitioned from software engineer to ML engineer, contributing notably to the popular Flower federated AI framework by integrating an iOS SDK and CoreML-based client implementations that make federated training feasible on consumer devices. His background in information systems (M.Sc.) and prior web development roles give him a strong product-oriented mindset and end-to-end engineering skills across mobile, backend, and documentation. He combines practical shipping experience with open-source collaboration, focusing on making privacy-preserving ML accessible on iOS through clear quickstarts and API tooling.
5 years of coding experience
M.Sc, Information Systems, M.Sc, Information Systems at Technische Universität München
Github Skills (10)
machine-learning10
swift10
ios10
federated-learning10
ai10
coreml10
swiftui-app8
swiftui8
python7
grpc6
Programming languages (3)
Github contributions (5)
adap/flower
Aug 2022 - Aug 2022
Flower: A Friendly Federated AI Framework
Role in this project:
Mobile Developer (iOS) & ML Engineer
Mobile Developer (iOS) & ML EngineerContributions:127 reviews, 1 commit, 110 PRs in 1 day
Contributions summary:Daniel's contributions primarily focused on the iOS platform, specifically integrating the Flower framework with CoreML for federated learning on iOS devices. They added an iOS SDK and example code using CoreML, including Swift code for client implementation. Furthermore, they developed documentation, including a quickstart guide, to help users deploy the federated learning system in iOS devices. The user also worked on the Swift SDK, generating the API reference, and modifying deployment scripts to include iOS.
federated-analyticsfederated-learning-frameworkmachine-learningkeras-federated-learningflower
danielnugraha/Xpense
Mar 2023 - Apr 2023
Contributions:2 reviews, 5 PRs, 5 pushes in 21 days
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