Crystal Gomes
Staff Technical Writer at CoreWeave
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolCrystal Gomes is a Staff Technical Writer with 11 years in tech and 8 years specializing in cloud platform and AI documentation, currently shaping developer docs at CoreWeave from New York. She has led docs teams and cross-functional advocacy at Stripe, migrated large Cloud AI docsets at Google, and produced practical migration guides, code samples, and visual content across blockchain and payments domains. Her open-source contributions include improving readability and structure for TensorFlow docs and practical ML sample code edits in GoogleCloudPlatform repos, showing hands-on familiarity with Jupyter/Colab artifacts and model-serving snippets. Comfortable translating machine learning papers into accessible guidance, she blends an MS in Computer Science with a background in English to create precise, user-focused technical narratives that streamline product adoption.
11 years of coding experience
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Northeastern University - SeattleB.A English Literature and Psychology, B.A English Literature and Psychology at The University of Tulsa
English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (13)
keras10
google-cloud-ml10
tensorflow10
documentation10
gcp10
python9
markdown-it9
markdown9
sample-size8
sample-rate8
sample-data8
scikit7
scikit-learn7
Programming languages (11)
Github contributions (5)
GoogleCloudPlatform/cloudml-samples
Oct 2017 - Jun 2019
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Role in this project:
ML Engineer
ML EngineerContributions:38 commits, 20 PRs, 29 pushes in 1 year 7 months
Contributions summary:Crystal primarily contributed to the repository by adding region tags and making modifications related to serving input functions, which included changes to the `model.py` and `task.py` files. They also added region tags to the learn runner and to the training code. Additionally, the user was involved in merging branches and updating the documentation with respect to the model deployment settings and runtime versions.
gcpcloudml-samplescloudmldeep-learninggooglecloudplatform
tensorflow/docs
May 2019 - Oct 2019
TensorFlow documentation
Role in this project:Technical Writer
Technical WriterContributions:20 commits, 6 PRs, 6 comments in 5 months
Contributions summary:Crystal primarily contributed to the TensorFlow documentation repository. Their commits focused on updating section titles to display correctly on tensorflow.org, making minor formatting and link edits, removing instances of passive voice, and updating headings to sentence case. They demonstrated an understanding of the documentation structure and a focus on improving the readability and presentation of the content.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
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