Summary
Shruti Rijhwani is a Staff Research Scientist at Google DeepMind with 11 years of experience building and evaluating large language models and NLP systems, grounded in a Ph.D. from Carnegie Mellon’s Language Technologies Institute. Her research focuses on semi-supervised, zero-shot, and transfer learning to make language technologies work for low-resource and endangered languages—a body of work that earned her a spot on Forbes 30 Under 30 in Science. She has a track record of shipping research into production-facing LLM training and evaluation (Gemini) and has contributed published ACL/EMNLP work from internships and fellowships at Bloomberg and Microsoft Research. Beyond core modeling, she’s applied practical engineering—OCR-aware NER, temporal features for social media NER, and scalable fuzzy search—bridging academic rigor with real-world systems. Based in New York, she mentors students and has organized workshops to advance DEI and community-building in NLP.
11 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD, Natural Language Processing, Computer Science, Doctor of Philosophy - PhD, Natural Language Processing, Computer Science at Carnegie Mellon University