Varad Deshmukh
Senior Machine Learning Research Scientist at Meta
Norwood, Massachusetts, United States
Summary
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Senior🎓
Top SchoolVarad Deshmukh is a Senior Machine Learning Research Scientist with a PhD in Computer Science and nine years of experience applying ML to complex, real-world problems ranging from space weather forecasting to platform integrity at Meta. His research blends machine learning, topological data analysis, and nonlinear time series methods—skills he used for solar flare prediction and sunspot classification during his PhD and now for detecting bad actors on the Facebook Developer Platform. Varad has bridged academia and industry through internships and roles at Facebook, IBM, Qualcomm, and UC Santa Barbara, bringing low-level systems insight from early work on memory and PCIe modeling to high-impact AI deployments. He is particularly drawn to complex systems and chaotic dynamics, which informs his rigorous approach to anomaly detection and model robustness. Based in Norwood, MA, he combines deep theoretical training with hands-on engineering to move research ideas into production-grade integrity solutions.
9 years of coding experience
11 years of employment as a software developer
Physics Chemistry and Mathematics, Physics Chemistry and Mathematics at Abasaheb Garware CollegeB Tech Computer Engineering, B Tech Computer Engineering at COEP Technological UniversityMasters Computer Science, Masters Computer Science at UC Santa BarbaraDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Colorado Boulder
English
Github Skills (3)
persistent4
embedded3
time-series2
Github contributions (5)
vrd1243/vrd1243.github.io
Oct 2019 - Oct 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:85 pushes in 4 years
templategithub-pages-templatemmistakesmistakesjekyll
vrd1243/forty-jekyll-theme
Oct 2018 - Oct 2018
Contributions:44 pushes in 1 day
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