Srinivas Gowriraj is an experienced machine learning engineer and applied scientist with a strong background in developing advanced algorithms and models. Significant contributions include designing a novel Informative-Diverse Algorithm during an internship at Amazon, as well as creating a multilingual query rewriting method published at the ACL 2023 Conference while serving as a research assistant at Carnegie Mellon University. Previous roles include developing a hybrid application at Swio, performing zero-shot document classification at ServiceNow, and creating an LLM-powered Copilot at ByteDance that successfully garnered 25,000 weekly active users. Currently, Srinivas is involved in building Llama-4 at Meta.
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