Ayush Saraf

Staff Software Engineer at Meta

New York, New York, United States
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Summary

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Rockstar
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Top School
Ayush Saraf is a Staff Software Engineer with 11 years of experience building photorealistic machine learning systems and neural rendering pipelines at Meta, now leading the core Gaussian splatting work powering VR scene capture for Hyperscape. He blends deep learning research and production engineering, having moved from research roles in computational photography and inpainting to tech-leading end-to-end ML infrastructure and tooling. His background includes research stints at UW Reality Lab and Vega, plus internships at Google, Microsoft, and CleverTap, reflecting strong foundations in both systems and applied ML. Ayush is comfortable shipping research-grade code at scale and translating cutting-edge papers into deployable products that drive user-facing experiences. Based in New York, he often operates at the intersection of vision research, systems engineering, and product delivery—an engineer who turns novel neural rendering ideas into robust pipelines. An early organizer and hackathon leader, he still brings that hands-on, build-first mindset to large technical programs.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor's degree Computer Science: Data Science, Bachelor's degree Computer Science: Data Science at University of Washington
bookHigh School High School/Secondary Diplomas and Certificates, High School High School/Secondary Diplomas and Certificates at Delhi Public School, Bhopal
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Stackoverflow

Stats
3reputation
293reached
0answers
1question
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Github Skills (55)

visualization10
python10
vega10
charts10
machine-learning10
plot10
graphic10
numpy10
deep-learning10
gpu10
autograd10
neural-network10
tensor10
binary-data10
vega-lite10

Programming languages (6)

TypeScriptJavaScriptLuaObjective-CJupyter NotebookPython

Github contributions (5)

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ayush29feb/Sketch-A-XNORNet

Jan 2017 - Jan 2018

An implementation of a variation of Sketch-A-Net using XNOR ConvNets using TensorFlow
Contributions:4 PRs, 85 pushes, 8 branches in 11 months
sketchtensorflowdeep-learningcnncomputer-vision
Contributions:8 PRs, 70 pushes, 7 branches in 5 years 8 months
reactnextjs
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