Join Date
October 2022
Country
Gender
Not Specified
Age
Not Specified
About Peter Gao
Peter was an early employee (#18) at Cruise, where he built a large part of a self driving car from scratch and led the computer vision team and was the tech lead for the overall perception team. Before that, Peter did research on deep learning for object detection at UC Berkeley. Before that, he interned at Pinterest and Khan Academy, doing a mix of ML and web work. Now he's founding a company building deep learning pipelines that can improve themselves!
Companies & Work
Aquarium Learning
ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets.
Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.
Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.
