Vishvas Vasuki
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Address
Mountain View, CA, USA
 		Email: vishvas.vasuki [æ] gmail.com
Phone: +1 512 524 6901
Web: http://vishvas-vasuki.appspot.com/
Education
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University of Texas Austin Computer Science
MS with GPA 3.7.   Dec, 2010
 
Vishveshvariah Technological University, India Computer Science and Engineering
BE. First class with distinction.   Jul, 2003
 
Publications
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    Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, and Sujay Sanghavi. On learning discrete graphical models using group-sparse regularization. In JMLR Workshop and Conference Proceedings: AISTATS 2011, volume 15, 2011. pdf, bib.

    SmartDetect Project Team. Wireless sensor networks for human intruder detection. Journal of the Indian Institute of Science, Vo. 90, No. 3: pp. 347–380., 2010. pdf, bib.

    Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, and Inderjit.S Dhillon. Affiliation recommendations using auxiliary friendship networks. In RecSys ’10: Proceedings of the third ACM conference on Recommender systems, Barcelona, Spain, 2010. pdf, bib.

    Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, and Inderjit.S Dhillon. Scalable affiliation recommendations using auxiliary friendship networks. ACM Transactions on Intelligent Systems and Technology special issue on Social Recommender Systems, 2011. pdf, bib.

Research
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Honda Research Institute USA via TriCom Quest  Mountain View, CA
Research Intern  Jan 2012 to Jun 2012
 
Product prototyped: Spoken Dialog System for interactive navigation. Activities: Scaling-up the parser to work with large database of entities (cut running time from O(n) to O(1)). Tuning belief tracking system. Assisted with demostrating this complex system on an Android device. Probabilistic graphical models and neural networks were used. Involved working with Java, Scala, C and Python code.
University of Texas Austin Department of Linguistics
Volunteer Research Assistant   Jun 2011 to Jan 2012
 
Topic: Bootstrapping a Part of speech tagging using tag dictionaries. Techniques: Modeled context using Directed graphs and Hidden Markov Models. Used EM with Label Propagation to exploit untagged data.
University of Texas Austin Department of Computer Sciences
Research Assistant   Jul 2009 to Dec 2010
 
Problems considered: Learning discrete graphical models, devising realistic network generation models, building recommender systems which use information from auxiliary social networks, gene-disease link discovery.
Activities included: Literature survey, identifying problems of interest, modeling and some theoretical analysis, designing experiments, tinkering and finding solutions, prototyping algorithms, presenting ideas and results, assisting in grant applications. The research involved collaboration and some mentoring.
University of Massachusetts Amherst Computer Science Department
Research Assistant   Sep 2007 to Dec 2007
 
Topic: Use of homology information in improving ab-initio Protein Structure Prediction.
My role involved: Literature survey, developing a research plan and contributing to the prediction software.
Indian Institute of Science Electrical Communications Engineering
Project Assistant   Nov 2006 to Mar 2007
 
Topic: The use of wireless sensor networks in detecting, classifying and tracking various objects.
My role: To evaluate sensing, routing and scheduling algorithms by simulation, and by actual deployment. Software engineering
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Google Inc.  Youtube Spam and Abuse Team
Software Engineer  Jun 2012 to present
 
Microsoft   Windows Group
Software Development Engineer Feb 2006 to Aug 2006
 
Product: Java terminal services client deployed on Microsoft Windows Storage Server 2003. Starting from scratch, we delivered an early version of the product in six months.
Role: I developed and owned the input-handling and packet-framing modules.
Infosys   PLM Group
Software Engineer Jul 2003 to Dec 2004
 
Products: Ematrix’s Product Central, a machine-part management system for Porsche.
Role: I implemented fresh features, fixed bugs, did some testing, produced technical documentation, maintained the bug-tracking (bugzilla) portal, made UI mock-ups, participated in design, and reviewed code. Self-driven initiatives: Writing software for bug-notification, synchronizing bug databases and ranking employees based on minimal input. Code samples/ Open Source projects
_________________________________________________________________________________________ Technical Skills
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____________________________________________________________________________________ Teaching
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University of Texas Austin Department of Computer Sciences
Teaching Assistant   Jan 2008 to Dec 2010
 
My duties have included grading, making grading rubrics, proctoring exams, holding office hours and leading discussion sections. I was TA for the following courses: Learning Theory(CS395T), Fall ’10. Numerical Analysis: Linear Algebra(CS383C), Fall ’09. Contemporary issues in Computer Science (CS349), Spr ’09. Analysis of Programs (CS336), Fall ’08. Foundations of Computer Science (CS307), Spr ’08. Talks
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