Rishabh Joshi is a research engineer with 11 years of experience in NLP and conversational AI, currently contributing to LLM alignment and post-training work on Gemini at Google DeepMind after research roles on Google Brain. He combines academic rigor from a CMU Master of Language Technologies with industry experience across Samsung and IISc, shipping intent/slot models for resource-constrained devices and advancing relation extraction and knowledge-graph techniques. His work spans text generation, task-oriented dialogue, summarization, and interpretable methods like importance attribution and graph-based dialogue structure modeling. Notably, he has practical product experience (voice NLU and Alexa Challenge systems) alongside core research contributions to large-scale model alignment, reflecting a blend of production engineering and deep research.
11 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
The Mother's International School
Master of Language Technologies, Master of Language Technologies at Carnegie Mellon University
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Rishabh Joshi - Research Engineer at Google DeepMind