Sameer Agarwal is a final year Ph.D. student in the AMPLab at Berkeley working on large-scale approximate query processing frameworks. His research interests are at the intersection of distributed systems, databases and machine learning, and he has published over 10 articles in various top-tier conferences including NSDI, EUROSYS, SIGMOD, VLDB and KDD. He received his B.Tech in Computer Science and Engineering from the Indian Institute of Technology and was awarded the President of India Gold Medal in 2009. He was supported by the Qualcomm Innovation Fellowship during 2012-13 and is supported by the Facebook Graduate Fellowship during 2013-14.
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