James Sutton

Senior Solutions Architect at NVIDIA

Old Toronto, Ontario, Canada
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Summary

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Rockstar
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Top School
James Sutton is a Senior Solutions Architect with 11 years of experience helping enterprises deploy production-grade ML and deep learning systems, now focused at NVIDIA on inference (TensorRT-LLM, Triton) and digital avatar technologies (ACE, RIVA, TTS/ASR). He brings a hands-on engineering background from founding a fintech startup and senior ML roles at DataRobot, Algorithmia, and Union.ai, bridging research, product and customer-facing solution delivery. Comfortable across cloud-native deployment, model serving and GPU infrastructure, he excels at translating complex ML needs into scalable architecture and operator-driven workflows. Based in Old Toronto, he combines metallurgical engineering roots with a builder’s mindset—equally at home prototyping models or tuning inference pipelines for latency-sensitive production.
code11 years of coding experience
job15 years of employment as a software developer
bookBachelor of Engineering (B.Eng.), Metallurgical Engineering, Bachelor of Engineering (B.Eng.), Metallurgical Engineering at Dalhousie University
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Github Skills (159)

transformers10
python10
deep-learning10
gpu10
extensible10
gemma10
gpu-acceleration10
ai-workflows10
glm10
chatgpt10
vitepress10
multimodal10
numpy10
audio10
scale10

Programming languages (19)

C#JavaCSSC++RustScalaVueGo

Github contributions (5)

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The Python based Algorithm Development Kit, used to deploy onto Algorithmia
Contributions:20 releases, 6 reviews, 82 commits in 1 year 5 months
algorithmiapython
algorithmiaio/langpacks

Oct 2016 - Jul 2022

Standardized builder and runners for Algorithmia algorithms
Contributions:26 reviews, 120 commits, 146 PRs in 5 years 10 months
algorithmiamachine-learning
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