Mu Li
Co-Founder at Boson AI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inHigh-Performance Machine Learning Computing
Mu Li is a Co-Founder and ML engineering leader based in Palo Alto with 12 years of experience combining deep research, system-level engineering, and developer-facing education. At AWS he led science teams to make deep learning cheaper and easier and contributed to flagship open-source projects such as MXNet, GluonCV and the Dive into Deep Learning (d2l.ai) ecosystem. His work uniquely spans low-level C++/CUDA and parameter-server development (mshadow, ps-lite, dmlc-core) alongside DevOps, CI and documentation improvements that make complex tools accessible to hundreds of universities. He also measures Transformer performance at the TFLOPS level and optimizes distributed training pipelines, bridging performance engineering and usability. Now co-founding Boson AI, he continues to translate research into production-ready systems. He holds a PhD in Machine Learning from Carnegie Mellon University.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Carnegie Mellon UniversityMaster, Computer Science, Master, Computer Science at Shanghai Jiao Tong University
Github Skills (79)
transformers10
benchmark10
documentations10
restructuredtext10
operation10
python10
bash10
dm10
deep-learning10
ci-cd10
ci-cd-pipeline10
build-automation10
distributed-training10
rs10
param10
Programming languages (10)
Github contributions (5)
d2l-ai/berkeley-stat-157
Dec 2018 - May 2019
Homepage for STAT 157 at UC Berkeley
Role in this project:
DevOps Engineer
DevOps EngineerContributions:118 commits, 124 pushes, 1 branch in 4 months
Contributions summary:Mu primarily focused on configuring and automating the build and deployment process for the project. Their contributions included modifying build scripts (build.sh) to include environment updates and setting up the deployment script (upload.sh) to synchronize the built documentation to an S3 bucket. Furthermore, the user adjusted configurations to integrate with the Jenkins CI/CD system, indicating a focus on infrastructure management. These changes likely streamline the build and release cycle.
berkeleyjekylluc-berkeleystat
dmlc/ps-lite
Apr 2015 - Jun 2018
A lightweight parameter server interface
Role in this project:Back-end Developer
Back-end DeveloperContributions:223 commits, 39 PRs, 152 pushes in 3 years 2 months
Contributions summary:Mu primarily contributed to the core functionality of the parameter server interface. Their initial commit established the project's foundation, and subsequent commits involved implementing core functionalities. These included adding a distributed monitor, updating configuration, and refactoring existing code. They also worked on refactoring the KV-Store component including adding dynamic-sized values and integrating with DMLC's serialization.
parameter-serverparameter
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