Algorithms and Systems for Big Data and Machine Learning.
Coding theory, Erasure coding for distributed storage, Computational Complexity.
I am currently interested in algorithms and systems for big data and machine learning.
- Hillview is an interactive visualization engine for large distributed data sets that be used to explore tables with a trillion cells, and that exclusively runs on sketching and streaming algorithms.
My work in Machine Learning focuses on rigorous and scalable methods for Anomaly Detection.
In the past, I have been a researcher at Microsoft Research (Silicon Valley and Redmond), a postdoc at UT Austin and the University of Washington, a Ph. D student at Georgia Tech, and an undergraduate at IIT Bombay. I have worked on coding theory
, erasure coding
for distributed storage
and computational complexity.