Hi, this is Mitul Tiwari, a computer scientist and a software engineer based in Silicon Valley. Currently, I am part of Search, Network, and Analytics Group at LinkedIn as a Staff Engineer (Research and Software Development). Previously, I worked at Kosmix as a Member of Technical Staff from October 2007 to January 2011. I completed my PhD in Computer Science from University of Texas at Austin in 2007. Earlier I received my under graduation as a Bachelor of Technology in Computer Science and Engineering from Indian Institute of Technology, Bombay in Summer 2001. I joined UTCS in Fall 2001, and earned my Master of Science in Computer Science in 2003.

At LinkedIn, I am working on data driven products such as "People You May Know" (PYMK). PYMK is a large-scale social recommendation system that analyzes billions of edges to predict social connections. Using Hadoop, PIG, Clojure, Machine Learning algorithms.

At Kosmix, I worked on document/tweet/query categorization, concept mining, query parsing, query expansion, and relevance of search results to improve the quality of pages generated for any given topic. I also worked on building high performance, scalable systems for data fetching, data storage, and distributed processing.

At UT Austin, I worked on algorithms for emerging network applications. In particular, my research focused on designing self-tuning algorithms for distributed resource allocation, especially for caching, monitoring, and scheduling problems. My advisor at UT Austin was Greg Plaxton. I also interacted with Harrick Vin and Mike Dahlin.

In the past I have worked with Soumen Chakrabarty and Inderjit Dhillon on web mining, clustering, and other data mining problems.

My interests include hacking, data mining, machine learning, search, distributed systems, and network algorithms.