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<!DOCTYPE html>
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<title>Homepage of Adith Swaminathan</title>
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<table class="imgtable"><tr><td>
<img align="left" src="Profile.jpg" alt="Adith Swaminathan" width="150" height="150" /> </td>
<td> </td><td> </td>
<td align="right"><p><b>Adith Swaminathan</b></p>
<p>Research Scientist,</p>
<p>MLIR Team,</p>
<p>Netflix</p>
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<p>Resume: <a href="cv_adith.pdf" target=_blank>Last updated 2024/10/28</a></p>
<p>Email: <a href="mailto:aswaminathan@netflix.com" target=_blank>aswaminathan@netflix.com</a></p>
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<h2>About Me</h2>
<p>I am a research scientist in the Machine Learning and Inference Research (<a href="https://research.netflix.com/research-area/machine-learning" target=_blank>MLIR</a>) team at Netflix.</p>
<p></p>
<p>I study Machine Learning (ML) to improve decision-making for user-interactive systems.<br>
I am interested in all things AI, especially reinforcement learning and causal reasoning.</p>
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<p>I received a BTech in Computer Science and Engineering from <a href="https://www.cse.iitb.ac.in/" target=_blank>IIT Bombay</a> in 2010,<br>
PhD in Computer Science (minor in Applied Math) from <a href="https://www.cs.cornell.edu/" target=_blank>Cornell University</a> in 2017,<br>
and I was a researcher in the <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-redmond/" target=_blank>Microsoft Research Redmond</a> Lab from 2017 - 2024.</p>
<p></p>
<p>When not day-dreaming about AI, I play a little soccer and a lot of video-games.<br>
I received my private pilot license in 2019 and fly an <a href="https://www.youtube.com/watch?v=qqQNYiLPOqE" target=_blank>experimental light sport aircraft</a>.</p>
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<h3>Publications</h3>
<p>My <a href="https://scholar.google.com/citations?user=WNHLjp0AAAAJ" target=_blank>Google Scholar page</a> has an up-to-date list of my research papers.</p>
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<h3>Updates</h3>
<p>2024/11: For Summer'25 PhD research internships in MLIR, please apply at <a href="https://explore.jobs.netflix.net/careers/job/790299528946" target=_blank>Netflix Careers</a> page.</p>
<p>2024/10: After 7 amazing years at MSR, I am excited to join the fantastic MLIR team at Netflix.</p>
<p>2024/07: <a href="https://github.com/microsoft/trace" target=_blank>Trace</a> (generative optimization) is now available! It will be presented at NeurIPS 2024.</p>
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