Muzi Li

Software Engineer at Google GenAI Infra Team

Role
Software Engineer Distributed Ml & Genai Infrastructure at Google
Location
Seattle, WA, US
LinkedIn followers
500 followers

Experience

  1. Software Engineer Distributed Ml & Genai Infrastructure

    Google

    Nov 2022 — Present · Seattle, WA, US

    Optimized large-scale ML model training by leveraging Flume’s distributed processing to generate massive datasets via bulk inference, enabling efficient training of smaller models through knowledge distillation- Enhanced user debuggbility by providing profound analysis across runs- Improved dynamic workload scaling and worker orchestration by benchmarking ML model loading inefficiencies, refining worker allocation strategies, and stabilizing performance- Increased inference efficiency by leveraging Flume’s input sharding and worker pool management to optimize parallel processing across multiple machines- Deep expertise in distributed computing, ML infrastructure, and large-scale AI system optimization, with a strong focus on scaling GenAI workloads efficiently.

Education

  • Boston University

    Master of Science - MS

    2017 — 2019

  • University of Electronic Science and Technology of China

    Bachelor's degree

    2013 — 2017

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Muzi Li — Software Engineer Distributed Ml & Genai Infrastructure at Google in Seattle, WA, US | Unifers