Kate Feingold

Computer Vision Researcher at Weizmann Institute of Science

Tel-Aviv, Tel-Aviv District, Israel
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Summary

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Senior
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Kate Feingold is a computer vision researcher with nine years of experience bridging deep learning research and real-world deployment, currently pursuing PhD-level work at the Weizmann Institute on generative AI for 3D/4D representations. She previously shipped production-focused vision solutions at Deci AI (now NVIDIA) where she co-authored a Neural Architecture Search core library, improved SOTA architectures, and helped teams adopt efficient Jetson deployments. Her background spans UAV camera positioning, thermal imagery, small-object detection, and multi-model pipelines, showing strength in both novel algorithms and embedded inference. She has taught advanced CV and deep learning courses, mentors engineers, and contributes to open-source tooling such as SuperGradients. Comfortable moving between research and engineering, she combines rigorous academic inquiry with hands-on system-building and a knack for turning complex models into deployable solutions. Based in Tel Aviv, she brings a practical focus on deployment constraints alongside cutting-edge generative modeling.
code9 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at Weizmann Institute of Science
bookBachelor of Computer Science, Applied Statistics and System Analysis, Bachelor of Computer Science, Applied Statistics and System Analysis at Taras Shevchenko National University of Kyiv
languagesUkrainian, English, Hebrew
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Github Skills (80)

python10
image-processing10
deep-learning10
yolov710
imagenet10
openmmlab10
audio10
neural-network10
object-detection10
computer-vision10
transfer-learning10
3d-reconstruction10
3d-graphics10
semantic-segmentation10
photogrammetry10

Programming languages (4)

C++CJupyter NotebookPython

Github contributions (5)

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yurkovak/LeetCode

Jun 2020 - Mar 2023

LeetCode problems
Contributions:2 PRs, 27 pushes, 2 branches in 2 years 9 months
leetcodeproblemsleetcode-solutionsdata-structuresleetcode-problems
yurkovak/Equivariant-SFM

Feb 2023 - Mar 2023

A fork created for a DL4CV course project
Contributions:5 reviews, 5 PRs, 15 pushes in 1 month
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