Samuel Andersen

Staff Engineer - Strategic Consumer Platforms

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Samuel Andersen is a Staff Engineer based in San Francisco with 11 years of experience translating executive strategy into production-grade AI/ML and cloud infrastructure for large enterprise customers. At Google he leads deployment of accelerators like GPU and TPU at mega-scale, owns a custom CI/CD stack integrating JAX and TensorFlow, and dives into low-level Triton/Pallas kernel debugging to unblock high-impact ML workloads. His background spans systems engineering, analytics automation, and solutions architecture at Cisco, Meraki, and Red Hat, where he built tooling that tied technical work to measurable business impact. Known for turning stakeholder requirements into concrete implementations, he combines hands-on kernel- and infra-level problem solving with a track record of shipping cross-functional processes and observability tooling. An uncommon strength is his ability to operate across executive, research, and SRE audiences, making him a bridge between cutting-edge ML research and reliable, scalable production systems.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor’s Degree B.S. Computer Science, Bachelor’s Degree B.S. Computer Science at The University of North Carolina at Chapel Hill
bookThe Chinese University of Hong Kong (CUHK)
languagesPortuguese, Spanish, Chinese, English, French
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Github Skills (23)

deep-learning9
jax9
rest-api8
ansible-tower8
rest8
nvidia8
rhel6
docker6
linux6
centos6
macbook-pro5
testing5
kubernetes4
podman4
python3

Programming languages (7)

ShellC++JinjaCSSGoMLIRPython

Github contributions (5)

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andersensam/lfs-scripts

Dec 2020 - Jan 2021

Automated script to build Multilib LFS system + livecd
Contributions:183 pushes in 1 month
lfslivecd
andersensam/axlearn

Mar 2025 - Jul 2025

An Extensible Deep Learning Library
Contributions:17 PRs, 166 pushes, 59 branches in 4 months
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