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-level AI engineer and co-founder with a Ph.D. in Computer Engineering who blends deep research instincts with hands-on systems engineering. He spent the bulk of his career at Microsoft—spanning Microsoft Research and Azure—building high-performance databases, cryptographic libraries, and backend services for LUIS and Azure OpenAI’s RAG offerings. More recently he has led model design and high-performance ML engineering at startups, shipping CUDA kernels, custom PyTorch operators, and C#-based deep learning inference and backtesting infrastructure. Comfortable across C++, C#, Python, and PyTorch, he repeatedly bridges prototype research and production-grade, optimized code. Notably, he has implemented homomorphic encryption libraries, a multi-threaded auto-optimizing LINQ for big-data querying, and temporal attention kernels—skills that make him equally suited to invent new algorithms and deliver them at scale. Based in Redmond, he seeks roles that start from a research question and end with clean, high-performance production systems.
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