In 2022, I graduated with an MS in statistics from Stanford University. In 2021, I received a BS from Stanford.
- San Francisco Bay Area
Light-Pipe is an everything-agnostic, extensible, light-weight Python framework for data pipelines that scale.
Code for "Weak Supervision with Incremental Source Accuracy Estimation"
663 contributions in the last year
Created 23 commits in 2 repositories
16 contributions in private repositories Mar 8 – Mar 28