About

Padmapriya Duraisamy is a Staff Engineer at Google, specializing in resource efficiency, reliability, and performance isolation. She leads the memory management team of the node agent in Google's cluster management system (Borg), driving initiatives to optimize Google's memory TCO, delivering >$XXM savings/yr. Padmapriya completed her Master's in the Electrical Engineering department at Stanford with a specialization in Communication and Networking. Her technical expertise lies in C, C++, and general systems programming, multi-threaded, multi-processes coding, operating systems, and Linux. Padmapriya has worked as a Software Engineering Intern, Routing, at Juniper Networks, where she was involved in developing a Release Line Item (RLI) for real-time monitoring LSP events and properties in MPLS. She was also part of a project to recompile C codes of the routing protocols development team to C++, which made it significantly easier for the team to migrate their C code to C++. During her undergraduate studies, Padmapriya worked as a Summer Undergraduate Research Assistant at the Institute of Digital Signal Processing, University of Duisburg Essen. She worked on signal processing of RFID tags and developed an alternative to the traditional Analytical Constant Modulus Algorithm using Joint Diagonalization. Her work culminated in a paper titled "Joint Diagonalization in ACMA and its Application to Multiple Tag RFID Systems" (Padmapriya Duraisamy, Feng Zheng, Thomas Kaiser), which was presented at IEEE TechSym 2014, Indian Institute of Technology, Kharaghpur, Feb 28- Mar 2, 2014, and published in IEEE Explore. Padmapriya's educational background includes a Master of Science (M.S.) in Electrical Engineering from Stanford University and a Bachelor's Degree in Electronics and Communications Engineering from NIT Tiruchirappalli. Her technical skills include Software Engineering, Senior Software Engineering, test, Python, PHP, Frontend, Web, and Research Scientist. Padmapriya has 6.79 years of relevant experience.