Nick Johnston
Software Engineer at Google
Elk Grove, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNick Johnston is a software engineer with 11 years of experience specializing in machine learning research and computer vision applied to video and image compression at Google. He has a strong background in search, speech recognition, NLP, and mobile platform development, having contributed to Google Search across Android, iOS, and voice assistants. At Google Research he implements and maintains ML models and tooling—his open-source contributions include foundational compression code and MS-SSIM implementation in the widely used tensorflow/models repository. Prior roles at Garmin and RBC built his systems and embedded software chops, grounded in a BS in Computer Engineering from Iowa State. Based in Elk Grove, CA, he combines production-grade engineering with research rigor and a knack for making academic ideas practical. An understated strength is his focus on long-term code maintainability and cross-platform Python3 compatibility in ML pipelines.
11 years of coding experience
4 years of employment as a software developer
BS, Computer Engineering, BS, Computer Engineering at Iowa State University
Github Skills (7)
machine-learning10
tensorflow10
python10
image-processing10
model-compression9
numpy8
scipy7
Programming languages (3)
Github contributions (5)
tensorflow/models
Sep 2016 - Apr 2018
Models and examples built with TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:15 commits, 13 PRs, 7 pushes in 1 year 7 months
Contributions summary:Nick's commits primarily focus on the initial development of compression models within the TensorFlow models repository. These contributions include the implementation of MS-SSIM for image quality assessment and a compression/decoder module. The user also addressed a GFile issue and ensured Python3 compatibility for the compression tools, indicating a focus on model implementation and code maintainability.
tensorflow
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