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<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" type="text/css" media="all" href="css/main.css" />
<title>Anant Agarwal</title>
</head>
<script type="text/javascript"><!--
function obfuscate( domain, name ) { document.write('<a href="mai' +
'lto:' + name + '@' + domain + '">' + name + '@' + domain + '</' + 'a>'); }
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<script>
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})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-52998397-1', 'auto');
ga('send', 'pageview');
</script>
<body>
<div id="wrapper">
<h1 style="color:#444444">
Anant Agarwal
</h1>
<p>
<i><font size="2"><span id="grad">Graduate Student</span><br>
North Carolina State University
</font></i>
</p>
<p>"Stay Hungry, Saty Foolish" - Steve Jobs</p>
<div id="socialLinks">
<ul class="nav" id="navigationLinks">
<li><a href="http://www.linkedin.com/in/anantag"><img src="images/l.png" style="border:none" width="20" height="20"></a></li>
<li><a href="http://www.github.com/anantag"><img src="images/github.jpg" style="border:none" width="20" height="20"></a></li>
<li><a href="http://www.twitter.com/anant_agarwal"><img src="images/twitter.png" style="border:none" width="20" height="20"></a></li>
<li><a href="http://www.facebook.com/anantag23"><img src="images/fb.ico" style="border:none" width="20" height="20"></a></li>
<li><a href="https://www.dropbox.com/s/zkezj85o5ec736z/Resume_AnantAgarwal.pdf"><img src="images/cv.png" style="border:none" width="20" height="20"></a></li>
</ul>
</div>
<br>
<hr size="2">
<ul class="nav" id="navigation">
<li><a href="index.html">Home</a></li>
<li><a href="education.html">Education</a></li>
<li style="letter-spacing:0.1em">[Experience]</li>
<li><a href="projects.html">Projects</a></li>
<li><a href="personal.html">Personal</a></li>
</ul>
<br>
<hr size="2">
<div id="mainBody">
<h2 id="eduHeadHead">Work Experience</h2>
<h6 style="margin:15px 0px 10px 5px" id="eduHead"><b>VMware Inc., Palo Alto, USA</b></h6>
<p style="margin-left:35px" id="edu1">Member of Technical Staff, Intern, High Availability Team</p>
<p style="margin-left:35px"id="edu1">Summer 2014</p>
<p style="margin-left:35px"id="edu1"><b><u>Project Description </u> - </b>
I am currently working with the High Availability team on their distributed VM availability services for vSphere.
<h6 style="margin:15px 0px 10px 5px" id="eduHead"><b>North Carolina State University</b></h6>
<p style="margin-left:35px" id="edu1">Teaching Assistant, Introduction to Artificial Intelligence(CSC 411)</p>
<p style="margin-left:35px"id="edu1">Fall 2013</p>
<p style="margin-left:35px"id="edu1"><b><u>Description </u> - </b>
Worked as a teaching assitant under Dr. Robert St. Amant for his undergraduate course - "Introduction to Artificial Intelligence" (CSC 411).
<h6 style="margin:15px 0px 10px 5px" id="eduHead"><b>Indian Institute of Technology, Delhi</b></h6>
<p style="margin-left:35px" id="edu1">Research Intern working with <a href="http://www.cse.iitd.ac.in/~kkb/" style="font-size:11px;">Dr. K. K. Biswas</a></p>
<p style="margin-left:35px"id="edu1">Summer 2012</p>
<p style="margin-left:35px"id="edu1">Project Description -
<p style="margin-left:35px"id="edu5"><b><u>A Hybrid Random Fourier Features for Large Kernel Machines </u> - </b>
Designed and implement a modified version of Localized Linear Support Vector Machine (SVM) which is faster and more accurate than standard libraries. The modified SVM first clusters the data using K-NN and K-Means clustering algorithm and then applies a Sequential Minimal Optimization (SMO) based SVM on each cluster, thereby deriving a consensus SVM model that is later used for classification and prediction purpose. Random Fourier Features were used for feature selection and optimization. Results showed about 10-20% improvement in the classification time and the system achieved marginal improvement in classification accuracy as well, under experiments that involved running this tool against available libraries like LIBSVM and LLSVM on standard benchmark datasets. <a href="https://www.dropbox.com/s/uzx2biu8gi3ioak/internReport-IIT.pdf">[Report]</a>
<h6 style="margin:15px 0px 10px 5px" id="eduHead"><b>Jaypee Institute of Information Technology, India</b></h6>
<p style="margin-left:35px" id="edu1">Teaching Assistant, Data Structures Lab</a></p>
<p style="margin-left:35px"id="edu1">Spring 2013</p>
<p style="margin-left:35px"id="edu1"><b><u>Description </u> - </b>
Worked as a teaching assitant under Dr. Manish Thakur for his undergraduate lab course - "Data Structures".
<h6 style="margin:15px 0px 10px 5px" id="eduHead"><b>Indian Institute of Technology, Delhi</b></h6>
<p style="margin-left:35px" id="edu1">Research Intern working with <a href="http://www.cse.iitd.ac.in/~kkb/" style="font-size:11px;">Dr. K. K. Biswas</a></p>
<p style="margin-left:35px"id="edu1">Summer 2011</p>
<p style="margin-left:35px"id="edu1">Project Description -
<p style="margin-left:35px"id="edu5"><b><u>Implementing Sequential Minimal Optimization (SMO) using a Hash Table </u> - </b>
I designed and implemented the Sequential Minimal Optimization (SMO) algorithm for training SVM using a "hash table" and show improved results over an array implementation. Final analysis was done by running the modified SMO based SVM over standard datasets and showing improved results in terms of computation time when compared to standard libraries like LIBSVM. Results showed around 30% improvement in the classification time. <a href="https://www.dropbox.com/s/kl55wkxfe9mdwa9/IITDelhiInternReport_IIT2011.pdf">[Report]</a>
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</div>
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</body>
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