Samuel Wenke
Senior Machine Learning Engineer at Ontra
Cincinnati Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolSamuel Wenke is a Senior Machine Learning Engineer with 11 years of experience building practical ML systems across startups and enterprise teams, currently driving ML at Ontra after roles at Zoom and Solvvy. He blends a strong academic grounding in computer engineering and neuromorphic research with hands-on production experience, shipping speech and mobile features as a contributor to the react-native-voice project. Comfortable across model research, architecture, and platform integration, he focuses on extracting real business value from value functions and edge-capable models. Based in Cincinnati, he brings a rare mix of device-level insight from neuromorphic memory work and scalability experience from cloud ML deployments.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Engineering, Master of Science (MS) Computer Engineering at University of Cincinnati
English, French, Spanish
Github Skills (5)
speech-recognition10
ios10
react-native10
android10
javascript9
Programming languages (11)
Github contributions (5)
react-native-voice/voice
May 2016 - Feb 2018
:microphone: React Native Voice Recognition library for iOS and Android (Online and Offline Support)
Role in this project:
Mobile Developer (Android/iOS)
Mobile Developer (Android/iOS)Contributions:29 commits, 11 PRs, 31 pushes in 1 year 9 months
Contributions summary:Samuel primarily contributed to the React Native voice recognition library, making changes across both Android and iOS platform-specific code. Their work included fixing breaking issues, updating documentation, and adding features. These changes involved modifying core JavaScript code, as well as platform-specific Android code to integrate speech recognition functionalities.
reactvoice-recognitionmicrophonereact-nativerecognition
wenkesj/sn
Feb 2016 - Feb 2016
Contributions:32 commits, 16 pushes, 2 branches in 6 days
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