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, currently heading Weave (Weights & Biases) at CoreWeave from San Francisco. He climbed through multiple engineering and leadership roles at Weights & Biases—from software engineer to VP/Head of Engineering and GM for GenAI dev tools—driving both product strategy and execution. A hands-on contributor to the prominent wandb open-source platform, he’s implemented type checks for wandb.log, added run-status and stop-request handling, and improved core tests and reliability. His background includes systems work at Waymo and Google, and he holds a BS in Computer Science, summa cum laude, from USC. He’s known for switching fluently between shipping low-level fixes and shaping high-level developer tooling roadmaps.
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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