Karan Srivastava
Graduate Student
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolKaran Srivastava is a sixth-year PhD candidate in Mathematics at the University of Wisconsin–Madison who applies rigorous mathematical foundations to machine learning and scientific discovery. His research focuses on reinforcement learning and training AI to generate interpretable data that directly informs mathematicians’ workflows, and he has translated those ideas into high-impact intern projects at IBM that advanced LLM-based heuristics for combinatorial optimization and novel algebraic discovery frameworks. Karan has a strong record of turning theory into scalable algorithms—delivering orders-of-magnitude improvements in speed and memory for symbolic discovery and demonstrating robust generalization on out-of-distribution problems. Based in Madison with nine years of professional experience, he’s now seeking industry internships in ML, data science, or quantitative finance to bring his blend of mathematical depth and practical ML engineering to real-world, data-driven challenges.
9 years of coding experience
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Wisconsin-MadisonStudy Abroad, Mathematics, Study Abroad, Mathematics at Independent University of MoscowBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Illinois Urbana-Champaign
English, Hindi, Japanese, Bengali
Github Skills (52)
popup10
tooltip10
react-component10
datepicker10
dropdown10
editor9
microsoft9
electron9
visual-studio-code9
vscode-extension9
typescript9
semantic9
flexbox9
dates9
font-size9
Programming languages (3)
Github contributions (5)
karan9/bookstore-frontend
Oct 2019 - Jan 2021
Contributions:2 PRs, 2 pushes, 1 branch in 1 year 3 months
karan9/react-dates
Jul 2021 - Jun 2022
An easily internationalizable, mobile-friendly datepicker library for the web
Contributions:5 pushes, 1 branch, 1 comment in 11 months
reactdatepickercalendarjavascriptmobile-friendly
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