Sai M is a Senior Staff Machine Learning Engineer with nine years of experience building large-scale AI systems and production ML at Google and now Moveworks in the San Francisco Bay Area. He led the launch of the first search results page built entirely with LLMs, combining supervised fine-tuning of Gemini models with a production Gemini-XS + LoRA adapter and novel ranking algorithms to measurably improve user satisfaction. Sai specializes in Retrieval-Augmented Generation, whole-page contextual ranking using GAMs, and architecting high-throughput semantic and direct caching pipelines to cut end-to-end latency for millions of users. He has a strong backend and systems pedigree—designing horizontal experimentation frameworks, multi-carousel decision frameworks affecting ~8% of Search traffic, and foundational latency-optimized infrastructure. His work bridges research and product: from academic projects in VQA and dialogue style transfer to deploying SFT and adapter-based LLMs at web scale. Colleagues describe him as a pragmatic engineer who turns cutting-edge model work into reliable, measurable product gains.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree Computer Science, Master's degree Computer Science at UC Santa Barbara
Contributions:21 commits, 7 PRs, 17 pushes in 1 month
testing
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