Varun Nair
Staff Data Scientist
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolVarun Nair is a Staff Data Scientist based in San Francisco with 10 years of experience applying machine learning to real-world problems across industry and academia. At Meta he drives data-driven measurement and improvement efforts, drawing on prior research at Duke where he used synthetic overhead imagery to boost semantic segmentation for infrastructure detection—work presented at IGARSS 2020. His background spans large-scale data wrangling, computer vision, and applied ML for security and policy-relevant problems, from analyzing tens of millions of network records at CyGlass to building synthetic training pipelines. Comfortable translating complex physics and ML concepts to stakeholders, he blends rigorous research habits with product-focused execution and a curiosity for tooling that scales research into production.
10 years of coding experience
3 years of employment as a software developer
Bachelors Physics and Economics, Bachelors Physics and Economics at Duke University
Github Skills (63)
object-detection8
efficientnet8
reader8
pdf8
pdf-generation8
semi-supervised-learning7
machine-learning7
reinforcement-learning7
keras7
deep-learning7
yolov57
data-augmentation6
flexibility6
api6
tensorflow6
Programming languages (3)
Github contributions (5)
varunnair18/PhoenixNow
Jul 2016 - Nov 2018
Contributions:2 pushes in 2 years 3 months
centralizedfacilitatesschoolscalls
varunnair18/varunnair18.github.io
Jul 2019 - Aug 2021
Contributions:9 pushes in 2 years 1 month
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