Shaily Bhatt is a PhD candidate at Carnegie Mellon University's Language Technologies Institute researching the socio-cultural competence and real-world impacts of language technologies. With ~8 years of experience spanning research internships and pre-doctoral work at AI2, Google Research, and Microsoft Research, she focuses on bias, fairness, and interpretable evaluation in multilingual NLP—especially for the Indian context. Her projects bridge human-centered AI and technical evaluation, from multimodal fake-news detection to corpus-level mitigation strategies for multilingual models. She has a strong engineering background from BITS Pilani and industry internships where she built production-facing tools that dramatically automated workflows. Shaily combines rigorous academic methods with practical deployment experience and an eye for societal implications, making her work directly relevant to both researchers and product teams. She often blends quantitative evaluation with human-in-the-loop techniques, reflecting a commitment to accountable, culturally aware language systems.
8 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
High School, Mathematics, 93.8%, High School, Mathematics, 93.8% at DPS (East), Ahmedabad
Doctor of Philosophy - PhD, Language Technologies, Doctor of Philosophy - PhD, Language Technologies at Carnegie Mellon University
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