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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<title>Varun Belagali</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.2.1/css/bootstrap.min.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.6/umd/popper.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.2.1/js/bootstrap.min.js"></script>
<style>
</style>
<!-- <script src="jquery.js"></script> -->
<script>
$(function(){
$("#includeContent").load("common.html");
});
</script>
</head>
<body>
<nav class="navbar navbar-expand-sm bg-dark navbar-dark">
<div class="container">
<div id="collapsibleNavbar">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link" href="index.html">Home</a>
</li>
<li class="nav-item">
<a class="nav-link" href="publications.html">Publications</a>
</li>
<li class="nav-item">
<a class="nav-link" href="projects.html">Projects</a>
</li>
<li class="nav-item">
<a class="nav-link" href="files/VarunBelagaliCV.pdf">CV</a>
</li>
<!-- <li class="nav-item">
<a class="nav-link" href="interests.html">Interests</a>
</li>
<li class="nav-item">
<a class="nav-link" href="gtk.html">Good to know</a>
</li> -->
</ul>
</div>
</div>
</nav>
<div class="container" style="margin-top:30px">
<div class="row">
<div class="col-sm-3">
<img src="imgs/varunb.jpg" width="100%" height="100%">
</div>
<div class="col-sm-6">
<h2>Varun Belagali</h2>
<p>
I am a MS CS student at Stony Brook University starting Fall 2022.
Previously I was a Research Associate working with Dr. Prasanta Kumar Ghosh at SPIRE Lab, Indian Institute of Science.
I have completed my Bachelor's in Computer Science and Engineering from R V College of Engineering, Bangalore.
My primary interest lies in the intersection of Machine learning and Computer vision.
<br>
Mail: varunbelagali98 [AT] gmail.com
<a href="https://www.linkedin.com/in/varunbelagali/">[LinkedIn] </a>
<a href="https://scholar.google.com/citations?user=tqEHnLUAAAAJ&hl=en&oi=ao">[Google scholar] </a>
</p>
</div>
<hr class="d-sm-none">
</div>
<br>
<br>
<div>
</div class=row>
<div class="col-sm-12">
<h2>Work Experience</h2>
<h5>
Research Associate at Indian Institute of Science [Sep 2021 - Aug 2022]
</h5>
<div class=row>
<ul>
<li>
Worked on image segmentation of glottal areas to help doctors track the progress of voice therapy.
Designed weakly supervised learning methods using box and image labels in PyTorch to overcome challenges of data collection.
</li>
<li>
Implemented air tissue boundary segmentation in MRI videos to aid the study of speech production.
Analyzed the drawbacks of existing deep learning methods and designed the use of regional losses and metrics to improve segmentation accuracy by 28.5%.
</li>
<li>
Developed lip-synced video generation from synthetic speech in PyTorch using open source techniques like Wav2Lip.
</li>
</ul>
</div>
<h5>
Software Engineer at Citrix [July 2020 - Sep 2021]
</h5>
<div class=row>
<ul>
<li>
Developed traffic manager tool in C# to handle cloud services during regional outages which improved time to mitigate by 20%.
</li>
<li>
Analysed the usage of Azure by Citrix Cloud services and optimized the provision of VMs, Cosmosdb, etc. to reduce the cost by 65%.
</li>
</ul>
</div>
<h5>
Research Intern at Indian Institute of Science [June 2018 - May 2020]
</h5>
<div class=row>
<ul>
<li>
Designed CNN model in Keras and knowledge-based data augmentation method in Matlab to solve glottis segmentation task in strobosopic videos and achieved an improvement of 0.26 in Dice score.
</li>
<li>
Created data annotation pipeline in Python for doctors to collect and label the stroboscopic videos of 18 patients.
</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</html>