Todd Mytkowicz
Software Engineer at Google
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTodd Mytkowicz is a software engineer and researcher with a decade of experience building language abstractions and high-performance runtimes for probabilistic, approximate, and parallel computing. He has driven research-to-product transitions at Microsoft and now contributes to systems work at Google, focusing on practical abstractions that let everyday programmers reason about uncertainty without heavyweight statistical training. His PhD-era emphasis on measurement and evaluation informs tools and compilers that verify probabilistic assertions and extract parallelism from traditionally sequential algorithms. Notably, his work on "uncertain" types and convergence-based parallelization turns messy real-world data and dynamic programming patterns into efficiently parallelizable code. Based in Seattle, he combines deep systems thinking with a pragmatic bent toward deployable runtimes and developer-friendly APIs.
10 years of coding experience
15 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Colorado Boulder
Github Skills (31)
shared-memory8
rdma7
yang7
ospf6
mailman6
4g6
aries6
networking6
infiniband6
portability5
mailing5
hpc5
snmp5
cray4
keras-tensorflow4
Programming languages (4)
Github contributions (5)
klipto/Uncertainty
Oct 2015 - Oct 2016
Contributions:34 commits, 33 pushes, 2 branches in 11 months
klipto/DeepLearningExamples
Dec 2019 - Feb 2020
Deep Learning Examples
Contributions:1 PR, 51 pushes, 8 branches in 2 months
pythoncaffe2deep-learningmachine-learningcaffe
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