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gmittal committed Nov 25, 2024
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Expand Up @@ -37,65 +37,22 @@ <h1>Gautam Mittal</h1>
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<p>
I am currently a founding engineer and researcher at <a href="https://contextual.ai/latest-news/">Contextual AI</a>.
We are building enterprise-grade AI with retrieval-augmented foundation models.
I work on the research team where I focus on large-scale training, benchmarking, algorithms, data, and infrastructure for our language models and retrieval systems.<br /><br />
<p id="about">
I am an engineer and researcher based in San Francisco. I am interested in deep learning, systems, computer- and human-generated art, jazz performance, bicycles, and the past and future of technology.<br /><br />

Previously, I worked on <a href="https://www.youtube.com/live/j0z4FweCy4M?si=2Ki0I8_PS2uinqVq&t=4279">vision</a> <a href="https://www.youtube.com/live/j0z4FweCy4M?si=Ed3x59UQqeeAVjbF&t=5490">foundation</a> <a href="https://twitter.com/karpathy/status/1465796331247575042">models</a> at <a href="https://www.tesla.com/AI">Tesla AI</a>,
<a href="https://magenta.tensorflow.org/">music</a> <a href="https://arxiv.org/abs/2103.16091">generation</a> at <a href="https://ai.google">Google Brain</a>,
Previously, I was part of the founding team at <a href="https://contextual.ai">Contextual AI</a>
building <a href="https://contextual.ai/introducing-rag2">retrieval-augmented language systems</a>.

I worked on the research team where I focused on large-scale training, benchmarking, algorithms, data, and infrastructure for language models and retrieval systems.

I've also worked on <a href="https://www.youtube.com/live/j0z4FweCy4M?si=2Ki0I8_PS2uinqVq&t=4279">vision</a> <a href="https://www.youtube.com/live/j0z4FweCy4M?si=Ed3x59UQqeeAVjbF&t=5490">foundation</a> <a href="https://twitter.com/karpathy/status/1465796331247575042">models</a> at <a href="https://www.tesla.com/AI">Tesla AI</a>,
<a href="https://magenta.tensorflow.org/">music</a> <a href="https://arxiv.org/abs/2103.16091">generation</a> at <a href="https://deepmind.google">Google Brain</a> (now DeepMind),
<a href="https://github.com/balsa-project/balsa">learned query optimizers</a> and <a href="https://github.com/skypilot-org/skypilot">SkyPilot</a> at the Berkeley <a href="https://sky.cs.berkeley.edu/">Sky Computing Lab</a> (formerly known as the RISE Lab),
payment products at <a href="https://stripe.com">Stripe</a>, and machine learning at Edmodo.<br /><br />
marketplace products at <a href="https://stripe.com">Stripe</a>, and machine learning at Edmodo.<br /><br />

I graduated from Stanford, where I studied foundation models and jazz improvisation with amazing researchers and musicians.
Before that, I studied Electrical Engineering and Computer Science at UC Berkeley and spent lots of time walking up hills and organizing hackathons with <a href="https://www.calhacks.io">Cal Hacks</a>.<br /><br />

I am interested in deep learning, cooking, systems, computer- and human-generated art, jazz performance, bicycles, and the past and future of technology.
</p>

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<h2>Research</h2>
<p>
<span class="pub">Towards Language Models That Can See: Vision Through the LENS of Natural Language</span><br />
William Berrios, Gautam Mittal, Tristan Thrush, Douwe Kiela, Amanpreet Singh<br />
arXiv 2023<br />
<a class="button" href="https://arxiv.org/abs/2306.16410">pdf</a>
<a class="button" href="https://github.com/ContextualAI/lens">Code</a>
<a class="button" href="https://contextual.ai/introducing-lens/">Blog</a>
<a class="button" href="https://lens.contextual.ai">Demo</a>
</p>
<p>
<span class="pub">SkyPilot: An Intercloud Broker for Sky Computing</span><br />
Zongheng Yang*, Zhanghao Wu*, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica<br />
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2023<br />
<a class="button" href="https://www.usenix.org/system/files/nsdi23-yang-zongheng.pdf">pdf</a>
<a class="button" href="https://github.com/skypilot-org/skypilot">Code</a>
</p>
<p>
<span class="pub">Balsa: Learning a Query Optimizer Without Expert Demonstrations</span><br />
Zongheng Yang, Wei-Lin Chiang*, Sifei Luan*, Gautam Mittal, Michael Luo, Ion Stoica<br />
ACM Special Interest Group on Management of Data (SIGMOD), 2022<br />
<a class="button" href="https://arxiv.org/abs/2201.01441">pdf</a>
<a class="button" href="https://github.com/balsa-project/balsa">Code</a>
</p>
<p>
<span class="pub">Symbolic Music Generation with Diffusion Models</span><br />
Gautam Mittal, Jesse Engel, Curtis Hawthorne, Ian Simon<br />
International Society for Music Information Retrieval (ISMIR), 2021<br />
<a class="button" href="https://arxiv.org/abs/2103.16091">pdf</a>
<a class="button" href="https://github.com/magenta/symbolic-music-diffusion">Code</a>
</p>
<h2>Teaching</h2>
<p><a href="https://cs186berkeley.net">CS 186 (Databases)</a> at UC Berkeley: Fall 2021 and Spring 2022<br />
<a href="https://calhacks.io/">Cal Hacks</a> at UC Berkeley: Fall 2019, Spring 2020, and Fall 2020
I studied foundation models and jazz improvisation at Stanford, learning from an amazing group of researchers and musicians.
Before that, I earned a degree in Electrical Engineering and Computer Science from UC Berkeley.<br /><br />
</p>
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