Nathan Lintz
Software Engineer at Google DeepMind
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolNathan Lintz is a software engineer with 14 years of experience building machine learning and large-scale search systems, currently contributing to DeepMind after an eight-year tenure on Google Search. He blends applied ML expertise—demonstrated by TensorFlow tutorials and practical model work on image/text classification at indico—with production engineering experience at scale. Based in Cambridge, MA, he brings a hardware-aware perspective from an engineering degree and early embedded work on microcontroller drivers. Known for clean, PEP8-compliant code and hands-on model training on datasets like MNIST, he favors reproducible learning pipelines that bridge research and production.
14 years of coding experience
10 years of employment as a software developer
BS Electrical and Computer Engineering, BS Electrical and Computer Engineering at Franklin W. Olin College of Engineering
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
machine-learning10
deep-learning10
tensorflow10
python10
data-science9
Programming languages (4)
Github contributions (5)
nlintz/TensorFlow-Tutorials
Nov 2015 - Aug 2016
Simple tutorials using Google's TensorFlow Framework
Role in this project:
ML Engineer
ML EngineerContributions:30 commits, 23 PRs, 24 pushes in 9 months
Contributions summary:Nathan contributed significantly to developing and implementing various machine learning models using TensorFlow within the repository. They added tutorials demonstrating logistic regression, a simple neural network, and more complex convolutional and modern neural networks. Their work also involved integrating the MNIST dataset and training the models, indicating a focus on practical application and experimentation with deep learning techniques. Further commits included commenting and cleaning up the code with PEP8 compliance.
tensorflow-frameworktensorflow
nlintz/Totem
Jun 2013 - Jul 2013
Contributions:119 commits in 1 month
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