Milind Srivastava
PhD student at Carnegie Mellon University
Milind Srivastava is a PhD student at Carnegie Mellon University advised by Prof. Vyas Sekar. Milind's research is focused on reducing the costs and latency of analytics and observability pipelines by orders of magnitude, using approximation techniques. Milind is interested in democratizing the benefits of approximation techniques and seeing this research get adopted by industry practitioners. Previously, Milind got his Bachelor's and Master's degrees in Computer Science from IIT Madras in India. In his free time, Milind likes to cook, explore restaurants, and bike around Pittsburgh.
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