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<!doctype html>
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<title>shreya-28.github.io</title>
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<h1>Shreya Sharma</h1>
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<img src="img/shreya.jpg" alt="A profile photo of Shreya Sharma">
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<p><i class="fas fa-location-arrow"></i>New York, NY, USA</p>
<p class="email"><i class="fas fa-envelope"></i>[email protected]</p>
<p><i class="fab fa-github"></i><a href="//github.com/shreya-28">Github</a></p>
<p><i class="fab fa-linkedin"></i><a href="//linkedin.com/in/shreya-sharma-bb6203191">LinkedIn</a></p>
<p><i class="fa fa-quote-right"></i><a href="//scholar.google.com/citations?user=k4YiMksAAAAJ&hl=en">Google Scholar</a></p>
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<p>Hello! I am Shreya, a Backend Software Engineer at Bloomberg. I am working for Security Platforms org to develop solutions that help our clients remotely access the Bloomberg network.
Before this, I was a master's student at School of Computer Science at Carnegie Mellon University. During my master's, I completed a summer internship at Meta as a Backend Software Engineer.
At Meta, I was part of the storage team building second-generation of blob storage for providing our clients with more flexibility in terms of assigning a storage policy. In particular, I built a C++ service for the automated generation and management
of storage volumes. </p>
<p>
My research interests primarily focus on secure systems that allow multiple parties to perform
decentralised computation without much overhead. I'm currently working secure ML interference with Prof Wenting Zheng. </p>
<p> In the summer prior to my master's, I worked as a software engineer for the Bing UX Team
at Microsoft India. My tasks at Bing mainly included - bug fixing and incorporating feedback to the recently launched
<a href="https://www.bing.com/travel">TravelHub</a>. For my Bachelor’s Thesis, I collaborated with
<a href="https://www.encrypto.cs.tu-darmstadt.de/research_profile/index.en.jsp">
ENCRYPTO Group</a> at TU Darmstadt to build a framework for secure
multi-party computation (MPC) called <a href="https://github.com/Oleksandr-Tkachenko/MOTION">MOTION</a>.
We've used various technologies and design decisions to build MOTION in a user-friendly and extensible manner,
and I hope that it promotes adoption of MPC protocols in practice.</p>
<p>In 2019, I interned at NTU Singapore to work on collaborative Deep Learning (DL). My research involved designing
efficient protocols for federated learning on DL models while strengthening the security guarantees involved. Previously, I also worked with <a href="http://www.eng.biu.ac.il/hazay/">
Dr Carmit Hazay</a> at Bar Ilan University,
Israel to come up with mathematical constructs that make way for simpler protocols in MPC.</p>
<h1>Publications</h1>
<p>
<ul style="list-style-type:square">
<li>Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang. <a href="https://ieeexplore.ieee.org/abstract/document/9006280">"Secure and Efficient Federated Transfer Learning"</a>. In 2019 IEEE International Conference on Big Data, Los Angeles, CA, USA (pp. 2569-2576). IEEE.</li>
<li>Shreya Sharma, Chaoping Xing, Yang Liu. "<a href="https://www2.isye.gatech.edu/~fferdinando3/cfp/PPAI20/papers/paper_3.pdf">Privacy-preserving deep learning with SPDZ</a>" The AAAI Workshop on Privacy-Preserving Artificial Intelligence 2020, New York, NY, USA. </li>
</ul>
</p>
<h1>Awards and Achievements</h1>
<p>
<ul style="list-style-type:square">
<li>Awarded the Google - Grace Hopper Celebration (GHC) Scholarship to attend GHC 2020.</li>
<li>Awarded the DAAD-WISE scholarship 2020 by German Government for research at TU Darmstadt.</li>
<li>Presented my work on secure Deep Learning at AAAI 2020. </li>
<li>Selected for Microsoft - Codess Summer Mentorship Program 2019.</li>
<li>Awarded the SPARK 2019 Scholarship by IIT Roorkee.</li>
</ul>
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