Josh Gordon
Leading ML Frameworks DevRel (JAX, Keras, TensorFlow) at Columbia University in the City of New York
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJosh Gordon is a growth-oriented enterprise partnerships professional based in Chicago who builds personalized Google Cloud solutions to dramatically boost productivity and collaboration. With a decade of experience spanning sales and business development at tech firms including DoorDash, Uber, Accenture, and Google, he combines go-to-market savvy with hands-on technical documentation and ML workshop contributions. His open-source work improving TensorFlow and Google Gemini docs—adding tutorials for GANs, CNNs, and audio quickstarts—signals a practical fluency in ML tooling that complements his cloud partnership focus. Known for making complex developer workflows more accessible (and for a wry take on Git), he bridges technical content, customer success, and strategic partnerships to accelerate adoption of cloud AI capabilities.
9 years of coding experience
1 year of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Columbia University
Github Skills (11)
mask-rcnn10
notebook10
faster-rcnn10
machine-learning10
jupyter-notebook10
api10
tensorflow10
python10
documentation10
rest-api8
keras8
Programming languages (3)
Github contributions (5)
random-forests/tensorflow-workshop
Dec 2016 - Oct 2018
Slides and code from our TensorFlow workshop.
Role in this project:
ML Engineer
ML EngineerContributions:51 commits, 11 PRs, 147 pushes in 1 year 10 months
Contributions summary:Josh contributed to a TensorFlow workshop by modifying and updating several Jupyter notebooks. Their work primarily involved updating syntax to newer versions of TensorFlow and correcting typos. The user also added a sample for Canned Estimators and examples for custom estimators, including a CNN implementation, indicating a focus on model training and deployment using TensorFlow.
pythonworkshopdeep-learningmachine-learningtensorflow
google-gemini/cookbook
Mar 2024 - Dec 2024
Examples and guides for using the Gemini API
Role in this project:Technical Writer
Technical WriterContributions:34 reviews, 27 PRs, 53 pushes in 8 months
Contributions summary:Josh primarily focused on enhancing the documentation and quickstart guides within the Gemini API cookbook. They fixed broken links across multiple notebooks, ensuring users can easily access and run the examples. The user also added new examples, such as a REST API example for system instructions and a new example for the Audio quickstart.
geminigemini-api
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