Sudhanva Kulkarni

UC Berkeley Undergraduate
4th year student passionate about numerical computing, abstract algebra, and educational technology.
Sudhanva Kulkarni

Teaching

Spring 2024

MathH113: Honors Intro to Abstract Algebra

Fall 2024

Math221: Numerical Linear Algebra
Office Hours: 2-3PM Mondays in Evans 891, 9-10AM Thursdays on Zoom (see EdStem for link).
Feel free to email me if none of these times work for you.

Research

Mixed Precision Algorithms for Linear Systems
Exploring efficient numerical methods that leverage different precision formats to optimize computational performance while maintaining accuracy in linear algebra operations.

Open Source Projects

LoFloat
A comprehensive C++ library designed for low-precision floating point experimentation, enabling researchers to simulate and test various floating-point formats for machine learning and scientific computing applications.
View on GitHub →

Get In Touch

GitHub Profile