David Wagner
Member Of Technical Staff at Anyscale
Kansas City, Missouri, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Wagner is a Member of Technical Staff with nine years of experience moving machine learning projects from research into production, fluent in the Python scientific stack and cloud compute. He bridges R&D and engineering to accelerate productization, with hands-on strengths in statistics, ML lifecycle engineering, and secure multi-party computation. Past roles at TripleBlind, GenHealth.ai, and Mycroft AI show a blend of applied research and full-stack implementation, including a notable open-source contribution integrating Google Cloud streaming STT into the Mycroft voice platform. Comfortable optimizing code and building visualizations in JupyterLab, he enjoys making complex pipelines both efficient and interpretable. Based in Kansas City, he pairs an MS in Statistics with a background in theology, reflecting a curiosity-driven approach to technical problems and interdisciplinary collaboration.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS Statistics, Master of Science - MS Statistics at University of Missouri-Kansas CityB.A. Bible and Theology, B.A. Bible and Theology at MidAmerica Nazarene UniversityMaster of Theological Studies, Master of Theological Studies at Midwestern Baptist Theological Seminary
Github Skills (12)
threaded10
hyper-threading10
python10
multithreading10
natural-language-processing10
thread10
ai9
speech-recognition9
nlp9
api8
apidoc8
open-source7
Programming languages (8)
Github contributions (5)
MycroftAI/mycroft-core
Jun 2019 - Oct 2019
Mycroft Core, the Mycroft Artificial Intelligence platform.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:42 commits, 20 PRs, 29 pushes in 4 months
Contributions summary:David implemented Google Cloud streaming Speech-to-Text (STT) integration, adding a new `GoogleCloudStreamingSTT` class and associated `GoogleStreamThread`. They refactored the STT system, creating abstract classes for `StreamThread` and `StreamingSTT`, enhancing code organization and reusability. Further contributions included modifications to the audio processing pipeline and the text client, as well as general code cleanup and PEP8 compliance. These changes collectively streamlined the STT implementation and enhanced the platform's capabilities.
pythonnatural-language-processingraspberry-piartificialnatural-language
davidwagnerkc/pudding
Aug 2022 - Mar 2025
Vanilla
Contributions:2 PRs, 22 pushes, 1 branch in 2 years 7 months
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