Simran Khanuja
Doctoral Student at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolSimran Khanuja is a doctoral student in Computer Science at Carnegie Mellon University with nine years of research and industry experience focused on multilingual and code-switched natural language processing. She has held research roles at Google and internships at Microsoft and IIIT Hyderabad, where she built benchmarks and datasets—such as GLUECoS and a code-switched NLI dataset—that advance evaluation of multilingual embeddings and conversational inference. Combining strong academic credentials (PhD candidate at CMU, B.Tech from BITS Pilani) with practical engineering, she has a track record of turning messy social-media-style code-mixed data into usable resources and models. Based in Pittsburgh, she brings both deep research rigor and hands-on dataset engineering to projects that bridge language technologies and real-world conversational systems.
9 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceHigh School, High School at St. Mary's School PuneDoctor of Philosophy - PhD, Computer Science, 4.16, Doctor of Philosophy - PhD, Computer Science, 4.16 at Carnegie Mellon University
Github Skills (47)
pytorch10
python10
machine-learning10
datasets10
deep-learning10
speech10
natural-language-processing10
transformer10
nlp10
multiclass-classification10
evaluation9
pandas9
transformers9
language-model9
bert9
Programming languages (4)
Github contributions (5)
simran-khanuja/awesome-multilingual-nlp
Dec 2022 - Feb 2023
Contributions:20 commits, 19 pushes, 1 branch in 1 month
simran-khanuja/awesome-cultural-nlp
May 2024 - Jan 2025
Resources for cultural NLP research
Contributions:6 reviews, 10 PRs, 28 pushes in 8 months
nlp
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