A highly diligent, quick learning and self actualized person with an excellent record. Experience of taking challenging research and engineering projects from design to prototyping and completion in short time periods on various technology stacks. Seeking a challenging career in building world class products and services.

Senior Rocket Scientist @ Tech Lead: Blackbird and DeathStar project From June 2012 to Present (3 years 5 months) San Francisco Bay AreaLong-term Research Intern @ Researching on: + improving quality of user similarity computation using local history and global consumption data. + enabling location privacy seamlessly using a design similar to P3 (See below for details on P3). + building a privacy aware, on-the-go realtime friend discovery application titled ‘Friendipity’. + establishing strict anonymity guarantees for P3. From August 2011 to June 2012 (11 months) Bengaluru Area, IndiaSummer Research Intern @ + Worked with Dr. Animesh Nandi on design, development and evaluation of a high performance, fault tolerant, large, distributed cloud based system for P3, the privacy preserving personalization project. + Used various technologies like Java, SOAP based web services, Apache Cassandra, Pastry, Memcached and Tor. + Built a log-based testing and monitoring framework for the system. + Infused various new ideas, researched on ways to improve the quality of recommendation algorithm and defined further research directions for the project. + Was highly appreciated by various heads at Bell Labs for innovativeness and rigor of the work. P3 is a multi-party owned middleware based solution that aims to integrate seamlessly in the current internet landscape and help users enjoy personalization benefits like targeted ads, Google news recommendations, Foursquare place recommendations, etc without revealing their content consumption and identity to respective service providers. See http://bit.ly/p3-idea for more details. From May 2011 to July 2011 (3 months) Bengaluru Area, IndiaSummer Reserch Intern @ + Researched on visualizing web search results to enable users to view, explore and interact with search results as points on a 2-dimentional plane clustered by similarity with similar clusters lying close to each other. + Experimented with significant phrase extraction techniques and various dimensionality reduction algorithms to model the search result documents as a bag of phrases and reduce the space of documents to 2 dimensions keeping semantic relationships intact. + Learned about various NLP techniques like stemming, lemmatization, POS tagging, word sense disambiguation, collocation identification, etc and state of the art probabilistic learning algorithms for dimensionality reduction like GTM, NeuroScale, SOM, PCA, etc. + Quickly prototyped a text and language processing pipeline in Python using NLTK and added various features to Data Visualization and Modeling System in Matlab to analyze the results. From June 2010 to July 2010 (2 months) Birmingham, United Kingdom

Bachelor of Techonology, Computer Science and Engineering @ Indian Institute of Technology (IIT), Ropar, Punjab From 2008 to 2012 Ishan Chhabra is skilled in: Java, C, C++, C#, Python, SOAP, Distributed Systems, Machine Learning, Amazon Web Services, SVN, Git, Linux, Matlab, Eclipse, NetBeans, MySQL, NoSQL, Vim, Haskell, Bash, HTML, Visual Studio, UML, Windows, Hadoop, SQL Server, Unix, AJAX, .NET, XML, SQL, Apache, Shell Scripting, LaTeX, Prolog, Web Services, Algorithms, Django, REST, Ubuntu, Ant, Software Engineering, Data Structures