Sherry Sarkar
PHD Student at Carnegie Mellon University
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolSherry Sarkar is a PhD student at Carnegie Mellon University with nine years of experience bridging theoretical computer science and practical algorithm design. Her research focuses on combinatorial optimization and approximation algorithms, especially in online and stochastic settings, and she has applied these skills to real-world problems such as unsupervised geo-spatial clustering during a data science internship. She has contributed to discrete geometry and SAT solver analysis in prior research roles and taught computer science courses while at Georgia Tech. Based in San Jose, she combines deep theory with hands-on implementation, producing reusable algorithmic packages for applied projects.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Georgia Institute of TechnologyDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University
Github Skills (6)
markdown10
gitpod10
github-pages10
jekyll10
theory7
react4
Programming languages (4)
Github contributions (5)
polymathjr/polymathjr-ramsey
Jul 2022 - Oct 2022
The official GitHub for Polymath Jr: Ramsey Theory Project.
Contributions:13 reviews, 19 commits, 13 PRs in 3 months
ramseytheorypolymath
sherrysarkar/theoryclub.github.io
Jan 2019 - Jul 2022
Theory Club website.
Contributions:1 push, 1 branch in 3 years 6 months
reacttheory
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