Cofounder Engineer At Algorithmic Trading Startup at Stealth AI Startup
Redmond, Washington, United States
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Summary
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John Wernsing is a Principal Machine Learning Engineer in Redmond who blends research-level rigor with hands-on systems engineering to ship high-performance ML and backend systems. At Microsoft he led backend work for PICL and built advanced infrastructure including a multi-threaded, auto-optimizing LINQ, the SEAL homomorphic-encryption library, a C++/CLI wrapper for Caffe, and contributions to the Trill streaming engine. More recently he optimized 2D convolutions and implemented custom high-performance PyTorch operators before joining Irreverent Labs, demonstrating a pattern of turning research prototypes into production-grade implementations. He holds a Ph.D. in Computer Engineering from the University of Florida (3.9) and earlier developed “Elastic Computing” (20,000+ lines of C++ with patent/publications), underscoring deep expertise in parallelism and runtime optimization. Known for bridging native C++ and .NET via C++/CLI and runtime code generation, he thrives at the intersection of low-level systems, ML performance, and applied research.
6 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at University of Florida
The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.
Contributions:3 comments, 1 issue in 16 days
roslyndotnetf-sharpcompilervisual-basic
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John Wernsing - Cofounder Engineer At Algorithmic Trading Startup at Stealth AI Startup