Rahul Garg

Principal Engineer at Netflix

San Francisco, California, United States
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Summary

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Senior
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Top School
Rahul Garg is a Principal Engineer in San Francisco with 13 years driving computer vision and ML/AI from research prototypes to large-scale product features. He led and shipped high-impact work across Google (Pixel computational photography, Magic Eraser, Portrait modes, Meet enhancements) and now applies generative and vision models to studio and creative production at Netflix. Rahul has a Ph.D. in computer vision and a track record of founding teams and taking multiple 0→1 projects into production, blending deep research with product-focused engineering. Early startup experience at Flutter produced consumer-facing gesture controls and multiple patents, a theme he continued with patent-backed features at Google. Colleagues rely on him for tackling real-time, low-power vision problems as well as scaling novel ML features into widely used consumer products. He combines academic publication pedigree with pragmatic delivery, often shipping work that becomes central to product marketing and user experience.
code13 years of coding experience
job13 years of employment as a software developer
bookPh.D., Computer Vision and Graphics, Ph.D., Computer Vision and Graphics at University of Washington
bookIndian Institute of Technology Delhi (IIT Delhi)
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Stackoverflow

Stats
21reputation
20kreached
1answer
0questions
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Github Skills (14)

machine-learning10
google10
ai10
image-stitching6
opencv6
image-processing6
diffusion-models5
chrome-extension4
javascript3
vue3
firefox-addon3
keepass2
browser-extension2
password-manager2

Programming languages (4)

JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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rahulgarg123/website

Dec 2017 - May 2025

Contributions:4 PRs, 30 pushes, 3 branches in 7 years 5 months
rahulgarg123/dp

Jan 2017 - Jan 2017

Contributions:10 pushes, 1 branch in 4 days
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