Milind Srivastava is a PhD student at Carnegie Mellon University advised by Prof. Vyas Sekar. Milind is interested in using approximation techniques in a principled manner to reduce telemetry costs across the stack, including data collection, transmission, and analysis. He is also interested in 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.