Gleb Krivosheev
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGleb Krivosheev is a seasoned technology executive and engineering leader with over 25 years of experience building AI-powered systems, Monte-Carlo simulation platforms, and scalable cloud services across AWS and Azure. He has led teams that shipped industry-defining products—from RMS HD catastrophe models that enabled a $2B acquisition to ML.NET, Skype core services, Microsoft Translator, and a patented Windows Phone smart keyboard. Known for turning legacy systems into cloud-native, high-performance platforms, he scaled Monte-Carlo workloads to >10k cores and delivered a 100x speedup for ML workloads in production-facing libraries. A pragmatic builder who bridges research and product, he has repeatedly convinced executives to change course, assembled multidisciplinary teams, and shipped under tight deadlines. Currently on sabbatical after a 27-year career, he blends deep systems expertise with a track record of commercial impact and operational leadership.
8 years of coding experience
25 years of employment as a software developer
MS Computer Schience, MS Computer Schience at University of WashingtonBS Computer Schience, BS Computer Schience at University of Nebraska-Lincoln
Russian, Swedish, English
Stackoverflow
11reputation
417reached
1answer
0questions
Github Skills (26)
algorithms10
machine-learning10
dotnet10
cross-platform10
ml10
dotnet-core10
csharp10
python9
api9
fsharp9
deep-learning8
coreclr8
data-science8
cuda6
keras6
Programming languages (5)
Github contributions (5)
glebuk/machinelearning
May 2018 - Apr 2019
ML.NET is the core library of machine learning in .net.
Contributions:2 PRs, 22 pushes, 5 branches in 11 months
dotnetml-netmachinelearningmlmachine-learning
glebuk/dotnet-api-docs
Feb 2019 - Feb 2019
.NET API reference documentation (.NET Framework, .NET Core, .NET Standard and Xamarin)
Contributions:6 pushes, 1 branch in 1 day
apidotnetnet-frameworknet-corenet-standard
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