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@@ -25,16 +25,32 @@ <h1>Suraj Parmar</h1> | |
</div> | ||
<div class="section-2"> | ||
<h2>About</h2> | ||
<p>My interests | ||
are primarily in NLP with improved multilingual performance and the intersection of Computer Vision and | ||
Natural Language Processing.</p> | ||
<p>Currently I am working as a Machine Learning Engineer at a Healthcare start-up in Toronto.</p> | ||
<p>I previously interned at Zujo, a Computer Vision start-up in India, and worked at RealAdvisor as a Data | ||
Scientist remotely. Also pariticipating in Numerai torunaments. Writing about it on Medium blog.</p> | ||
<p>Interested at the intersection of AI and Blockchains. </p> | ||
<h2>Contact</h2> | ||
<p>Hi, I am Suraj Parmar, currently working as a Machine Learning Engineer at a healthcare start-up in Toronto. | ||
</p> | ||
<p>I have worked on various projects involving statistical and deep learning forecasting and classification | ||
models. Building and deploying efficient Retrieval Augmented Generation (RAG) pipelines in completely | ||
offline environments. </p> | ||
</p> | ||
<p>Apart from that, I have been researching on the Numerai datasets for financial data. | ||
My main focus right now is Transformers on cross-sectional asset prediction involving self-supervised | ||
learning. Can read more about it on my blog. | ||
</p> | ||
<p>My master's thesis was on the topic of "Utilizing Deep Learning for Enhancing Performance on Encrypted Stock | ||
Market Data". | ||
The goal was to extract robust and meaningful representations for Numerai datasets to improve the GBDT | ||
baseline model.</p> | ||
<p>I previously interned at Zujo, a Computer Vision start-up in India, | ||
and worked at RealAdvisor as a Data | ||
Scientist remotely. </p> | ||
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<p>I am available for contract and freelance work. | ||
Feel free to reach out to me on my email or social media | ||
handles.</p> | ||
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<h2>Contact </h2> | ||
<a href="mailto:[email protected]">[email protected]</a> | ||
<p>DM on Twitter, LinkedIn</p> | ||
<p>Say hi on Twitter, LinkedIn :)</p> | ||
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</div> | ||
</div> | ||
</body> | ||
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