Sayan Shaw
Software Engineer at Microsoft
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSayan Shaw is a software engineer with six years of experience building high-performance ML infrastructure, currently advancing AI Frameworks at Microsoft in Seattle. He led architecture and delivery for ONNXRuntime acceleration used by DALL-E–powered Bing Image Creator, driving 13.4 million additional daily inferences and expanding ORT adoption across Bing, Office, and Windows silicon teams. Sayan specializes in optimizing NLP and vision workloads—creating C++ tokenizers that beat OpenAI and HuggingFace benchmarks and developing a DSL for generating optimized ONNX GPU kernels on Nvidia hardware. His background spans research on energy-efficient AI at UC San Diego and entrepreneurial experience founding a Bay Area startup that delivered scalable, cost-optimized web services on AWS. Comfortable bridging research and production, he collaborates with Microsoft Research and hardware partners to bring state-of-the-art models into efficient, real-world deployment. Collected strengths include systems-level performance engineering, cross-functional leadership, and a track record of turning research insights into productionscale ML runtimes.
6 years of coding experience
4 years of employment as a software developer
University of California, San DiegoMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
English, French, Spanish
Github Skills (34)
algorithms10
pytorch10
ai-framework10
machine-learning10
dotnet10
accelerator10
cross-platform10
onnx10
hardware-acceleration10
post-processing10
keras10
deep-learning10
tensorflow10
dotnet-core10
scikit-learn10
Programming languages (3)
Github contributions (5)
sayanshaw24/onnxruntime
Jul 2023 - Sep 2023
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:42 PRs, 39 pushes, 30 branches in 2 months
sayanshaw24/machinelearning
Jun 2019 - Aug 2019
ML.NET is an open source and cross-platform machine learning framework for .NET.
Contributions:31 pushes, 11 branches in 1 month
machine-learning-platformdotnetml-netmlmachine-learning
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