Rama Pasumarthi is a Staff Software Engineer at Google with 11 years of experience specializing in multimodal reasoning, intelligent agents, and bringing state-of-the-art LLM research into high‑scale production. He leads cross-functional teams to deploy low-latency, efficient large language models across Search, Ads, and Cloud, applying techniques like quantization, speculative decoding, and LoRA for memory and parameter efficiency. His work spans RLHF-driven safety and evaluation, tooling for fine-tuning foundational models, and measurable latency reductions highlighted in company-wide communications about Gemini. Trained at Carnegie Mellon and IIT Madras, Rama combines deep research credentials from IBM Research and publications in top venues with hands-on product impact at Google and prior analytics roles at American Express. He’s as comfortable defining strategy with senior leadership as he is optimizing decoding paths in production, making him a rare bridge between SoTA research and deployable ML systems.
11 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science (M.S.),, Language Technologies, Computer Science, Master of Science (M.S.),, Language Technologies, Computer Science at Carnegie Mellon University
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Rama Pasumarthi - Staff Software Engineer at Google