Adrian Swanberg
Head Of Weave (Weights & Biases) at CoreWeave
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAdrian Swanberg is a seasoned software leader with 11 years of experience building developer tools and production ML infrastructure from San Francisco. Currently Head of Weave at CoreWeave (formerly leading Weights & Biases engineering and product as VP/GM), he blends hands-on full‑stack development with strategic leadership to ship GenAI dev tooling at scale. His contributions to the flagship wandb open-source repo include core runtime improvements, type checks, run-status handling, and robust test coverage—reflecting a focus on reliability and developer UX. Earlier roles at Waymo and Google gave him deep systems and production ML experience, and he graduated summa cum laude in Computer Science from USC. Colleagues describe him as an operator who still digs into code to unblock teams and improve platform correctness.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer Science Summa Cum Laude, Bachelor of Science (BS) Computer Science Summa Cum Laude at University of Southern California
English, Spanish
Github Skills (10)
machine-learning10
python10
pytest9
backend9
tracks9
experiment9
automations8
automation8
pytorch8
tensorflow8
Programming languages (7)
Github contributions (5)
wandb/wandb
Jul 2019 - Aug 2021
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:64 reviews, 113 commits, 42 PRs in 2 years 1 month
Contributions summary:Adrian primarily worked on the Weights & Biases (W&B) platform, contributing to the core functionality and testing. Their commits included implementing type checks for the `wandb.log` function, moving logic around, and adding unit tests. Furthermore, the user added support for checking run status and stop requests, enhancing the platform's run management capabilities. The user also worked on fixing tests and addressing potential issues in the core codebase.
pythoncollaborationtensorflowhyperparameter-tuningcli
nikkibisarya/CodeU-Summer-2017
May 2017 - Aug 2017
Contributions:1 branch, 115 comments in 2 months
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