Product Management - Monetization @ Product and business lead for Sponsored Content - LinkedIn's flagship advertising solution. Driving a $$$ million/year business, the company's fastest growing revenue line and LinkedIn's key monetization product on mobile. We are looking for great engineers, product managers, business development and business analytics folks. If you are interested and would like to learn more send me an inmail. From February 2014 to Present (1 year 11 months) Product (Program) Manager @ Drove multiple initiatives across web search and online monetization. Initially focused on building the product road map for local advertising and eventually drove monetization of local search across the Bing-Yahoo paid search network. Also led efforts for improving Bing Local web search relevance particularly for mobile. From July 2011 to January 2014 (2 years 7 months) Graduate Research Assistant, Stanford Security Lab @ Guide - Prof. John C. Mitchell, Department of Computer Science Designed and implemented an attribute based encryption(ABE) electronic medical/personal health information exchange system that is HIPPAA and HITECH compliant to ensure Health Care Privacy. From January 2010 to June 2011 (1 year 6 months) Software Engineering Intern @ Designed and developed a new Ad-Sales tool for determining target audiences of ad campaigns. Leveraged Lucene and Bobo for efficient search over more than 75 million member profiles. The tool can slice data along 30 dimensions and is 1000x faster than the previous implementation. The tool is currently in production and is used for sales. From June 2010 to September 2010 (4 months) Undergraduate Research Student @ Bachelor’s Thesis (June 2008 – May 2009) Thesis Title - Detecting and Combating Botnets in Enterprise Networks Guide - Prof Sugata Sanyal, School of Technology & Computer Science Proposed a new ‘Learning Intrusion Detection and Prevention System’ that uses Supervised Learning, to detect and thwart bot activity in a network. Our implemented algorithm can successfully identify malicious network nodes engaging in key-logging, denial of service and spamming attacks. From June 2008 to May 2009 (1 year) Intern, Global Technology Services @ Remodeled architecture of Lehman Live Portal Software, a web based platform (JSPs & Servlets) that provided access to fixed income, credit, and equities market analytics. Suggested improvements that reduced system running time and maximized efficiency. From December 2007 to January 2008 (2 months) Research Intern @ Guide – Prof. Sathish Vaidhiyar, Supercomputing & Education Research Center Developed scalable and fault tolerant PDE Solvers that allow runtime reconfiguration in terms of data distribution, number of processors in the processor set or both From May 2007 to July 2007 (3 months)

MS, Computer Science, 4.0 @ Stanford University From 2009 to 2011 BTech, Computer Science @ Veermata Jijabai Technical Institute From 2005 to 2009 Divye Khilnani is skilled in: C, Machine Learning, C++, Algorithms, Distributed Systems, Artificial Intelligence, Java, Apache Pig, MapReduce, Matlab, Information Retrieval, Natural Language Processing, Hadoop, Python, Data Mining