(K V RASHMI)

    Department of Electrical Engineering and Computer Science
    UC Berkeley

    rashmikv [at] eecs [dot] berkeley [dot] edu
    On Google Scholar.

I am a third year Ph.D. student at UC Berkeley. My research interests lie in the theoretical and practical challenges that arise in storage and analysis of big data. This broadly includes the areas of coding theory, computer systems, and statistics and machine learning. I am advised by Prof. Kannan Ramchandran.

This academic year, my research is being supported by the Microsoft Research PhD fellowship. Thanks to Microsoft for the support! My research during the last academic year was funded by Facebook through the Facebook Fellowship. Thanks to Facebook!

Currently, I am researching new encoding mechanisms for large-scale distributed storage systems that significantly improve their disk IO, network-bandwidth and storage efficiency as compared to the state-of-the-art techniques. This summer, I interned at Microsoft Research Redmond. In summer 2012, I interned at Facebook, where I got a hands-on experience of large-scale distributed storage systems by working on the world's largest Hadoop cluster. Here is a simple (and fun!) introduction to my research work in this direction.

Prior to joining UC Berkeley, I completed my Master's from the Indian Institute of Science under the guidance of Prof. P. Vijay Kumar.