Ross Girshick
Member Of Technical Staff at Anthropic
Seattle, Washington, United States
Summary
🤩
RockstarRoss Girshick is a seasoned machine learning researcher and engineer with 14 years of experience specializing in computer vision and object detection. He has held research and engineering roles at Meta FAIR, Microsoft Research, the Allen Institute, and now Anthropic, and co-founded a startup focused on applied ML. Ross is a principal contributor to landmark open-source projects such as R-CNN, Fast R-CNN, Faster R-CNN, Detectron and Detectron2, where his work on training pipelines, bounding-box regression, memory efficiency, and dataset support materially improved robustness and usability. His contributions span both research-grade algorithmic advances and pragmatic engineering—implementing efficient feature caching, multi-GPU testing support, and configuration tooling (yacs). Based in Seattle, he combines deep academic pedigree with production-facing software craftsmanship, and is known for quietly improving the plumbing that lets cutting-edge vision models scale.
14 years of coding experience
11 years of employment as a software developer
Github Skills (28)
pytorch10
c-language10
caffe10
python10
testing10
configuration-management10
machine-learning10
matlab10
detectron10
numpy10
deep-learning10
trainings10
retinanet10
object-detection10
computer-vision10
Programming languages (6)
Github contributions (5)
rbgirshick/py-faster-rcnn
Aug 2015 - Jan 2018
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Role in this project:
ML Engineer
ML EngineerContributions:26 commits, 6 PRs, 27 pushes in 2 years 5 months
Contributions summary:Ross contributed to the implementation of Faster R-CNN, a Python-based object detection system. Their work focused on fine-tuning and training aspects, specifically modifying configuration settings, and incorporating features for bounding box regression. The user also introduced and integrated support for pre-computed bounding boxes from external datasets. These changes involved significant modifications to the codebase, reflecting a focus on model training and algorithm optimization within the object detection framework.
faster-rcnnmatlabpython
rbgirshick/yacs
Aug 2018 - Aug 2020
YACS -- Yet Another Configuration System
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 releases, 33 commits, 19 PRs in 2 years
Contributions summary:Ross primarily contributed to the `yacs` project by implementing configuration management features. Their work included adding a `clone` method, improving documentation, and refactoring import statements. They also added example configurations and implemented type validation and improved error messages. These changes suggest a focus on enhancing the usability and robustness of the configuration system.
pythonconfigurationconfiguration-managementansibleyet-another
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.