Anmol Agarwal is a Senior Software Engineer at Google DeepMind with five years of experience building multilingual, safety-focused AI features for Gemini and Google Assistant. An IIT Roorkee graduate in Electronics and Communication Engineering, he combines strong algorithmic foundations and Python expertise to improve factuality and expand language coverage across products like Bard/Gemini and Workspace. His work spans deploying neural models for low-resource languages, scaling the Double Check feature globally, and integrating multilingual capabilities into consumer-facing assistants. Known for pragmatic problem-solving, he has moved research ideas into production—optimizing model performance with data augmentation and migration from rule-based to neural systems. Based in Bengaluru, he’s driven by breaking language barriers through scalable engineering rather than purely academic pursuits.
5 years of coding experience
7 years of employment as a software developer
High School, High School at Delhi Public School Ghaziabad
Consists of the largest (10K) human annotated code-switched semantic parsing dataset & 170K generated utterance using the CST5 augmentation technique. Queries are derived from TOPv2, a multi-domain task oriented semantic parsing dataset. Tests suggest that with CST5, up to 20x less labeled data can achieve the same semantic parsing performance.
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