Carey Phelps is a product leader in San Francisco with seven years of experience building developer tools and ML product workflows. As Founding Product Manager and later Director of Product Management at Weights & Biases, Carey launched dataset and model versioning, hyperparameter tuning, and reporting tools, grew the user base to 120,000 and helped the company reach a $1B valuation while taking a model registry from zero to adoption by 100+ teams. They blend hands-on ML tooling work—contributing to wandb/examples to improve PyTorch CNN metric logging and sweep tutorials—with building and managing cross-functional teams of product managers, designers, and technical writers. Earlier roles as a healthcare analytics cofounder and a product designer who shipped classroom-deployed experiences show a knack for translating complex domain problems into practical, user-centered products. Now at Resolve AI, Carey focuses on scaling enterprise ML workflows and developer tooling.
Example deep learning projects that use wandb's features.
Role in this project:
ML Engineer
Contributions:3 reviews, 42 commits, 15 PRs in 1 year 11 months
Contributions summary:Carey primarily focused on improving the accuracy and logging of metrics for a PyTorch CNN model used in the `pytorch-cnn-fashion` example. Their contributions included adjustments to accuracy calculations and output precision. Additionally, the user added a tutorial folder and modified the configuration for a sweep-tutorial to classify clothing items.
Contributions:11 commits, 5 pushes in 1 year 10 months
biasesweights
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