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Sathvik Nair

Computational Linguistics PhD student | NSF GRFP Fellow

Sathvik Nair is a PhD student at the University of Maryland, specializing in computational linguistics with a keen interest in leveraging large language models to understand human language comprehension and enhance language technologies. He is a recipient of the NSF Graduate Research Fellowship.

Prior to his doctoral studies, Sathvik worked as a software development engineer at AWS's Elastic Block Store in Boston. He holds bachelor's degrees in Computer Science and Cognitive Science from UC Berkeley, where he graduated with Highest Honors.

Sathvik's educational journey includes studying at San Jose City College and Leland High School in addition to his higher education.

He has held various roles in prestigious organizations, including being a Graduate Research Assistant at the University of Maryland, a Honors Thesis Student at UC Berkeley, a Software Development Engineering Intern at Workday, and a Data Science Intern at Applied Materials, among others.

Highlights

Jul 25 · linkedin

Ever since large language models have been adopted so widely, I've wanted to write a blog post on how I've been approaching them as a cognitive scientist. I finally got the chance to do so, and hope this way of thinking sheds light on what language models of all sizes can & can't do.

#llm #languagemodels #chatgpt

Aug 30 · linkedin

Excited to announce I'll be starting my PhD in computational linguistics at the University of Maryland!

I learned a lot as a software engineer at Amazon Web Services (AWS) and am extremely thankful to everyone who made this first job out of college a valuable experience. I look forward to applying these skills to further develop my research career.

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Location

Washington, District of Columbia, United States