Thomas Unger
Software Engineer at Boston University
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolThomas Unger is a software engineer and PhD candidate in computer science based in San Francisco who applies an experimental scientist’s rigor to building user-facing systems that boost performance and energy efficiency. With 11 years tackling systems problems—from auto-parallelization and snapshotting to ML/AI acceleration and application-kernel co-design—he bridges deep research and production engineering. He has moved between academia and industry, including roles at Red Hat and a postdoc at Boston University, and recently joined Meta while continuing collaborative work at Red Hat. Known for making operating systems “run faster than they should,” he focuses on pragmatic optimizations that yield measurable gains in real workloads. Comfortable designing across the stack, he brings both theoretical insight and hands-on implementation experience to complex performance and systems challenges.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Boston University
Github Skills (34)
init10
linux10
system10
systemd10
machine-learning9
deep-learning8
neural-network8
unikernel7
linux-kernel6
ebpf4
bitmaps4
serverless3
makefile2
animated2
graph2
Programming languages (8)
Github contributions (5)
PSML/TracePipeline
Apr 2016 - Nov 2017
Contributions:2 PRs, 89 pushes, 9 branches in 1 year 7 months
deep-learningpythonmachine-learningdata-science
bumic/bestofml
May 2016 - Jan 2017
A repository for sharing best of resources for learning the current state of the art in machine learning. Join our Facebook group:
Contributions:31 commits, 31 pushes, 1 issue in 8 months
machine-learningneural-networkdeep-learningconvolutional-networks
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