Bruno Korbar
Quantitative Researcher
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolBruno Korbar is a machine learning engineer with a decade of experience building multi-modal large language models and computer vision systems, currently contributing at Reka AI and Squarepoint from Cambridge, MA. His background blends a DPhil from University of Oxford and hands-on research at Google and Facebook/FAIR, with deep expertise in video understanding and PyTorch video IO—demonstrated by notable contributions to the widely used pytorch/vision repository. He has a strong track record shipping video model tooling and APIs, bridging research and production work from academic publications to open-source code. Outside the lab he’s a wandering photographer who writes code, and he brings that visual intuition into his model design and data-centric approach. An avid swimmer and outdoor enthusiast, he pairs technical rigor with a creative eye for multimodal data and user-facing ML products.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of OxfordHigh school, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, High school, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at V.gimnazijaBachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Dartmouth College
German, Croatian, English
Github Skills (6)
video-processing10
computer-vision10
pytorch10
python10
apidoc9
api9
Programming languages (7)
Github contributions (5)
pytorch/vision
Jul 2019 - Nov 2022
Datasets, Transforms and Models specific to Computer Vision
Role in this project:
Back-end Developer
Back-end DeveloperContributions:125 reviews, 33 commits, 47 PRs in 3 years 4 months
Contributions summary:Bruno primarily contributed to the implementation of video-related models and APIs within the `pytorch/vision` repository, as evidenced by the commit messages referencing "VideoModelZoo" and "videoReader API." Their work involved creating and modifying Python files, particularly focusing on models for video processing and adding core functionality for video decoding and handling. The changes involved writing code for various video-related components and the integration of test files.
computer-visionmachine-learning
bjuncek/detr
Jan 2021 - Feb 2026
End-to-End Object Detection with Transformers
Contributions:17 PRs, 49 pushes, 15 branches in 5 years 1 month
pytorchtransformersend-to-enddeep-learningobject-detection
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