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.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Metallurgical Engineering, Bachelor of Engineering (B.Eng.), Metallurgical Engineering at Dalhousie University
Python Client for Algorithmia Algorithms and Data API
Contributions:15 releases, 43 reviews, 190 commits in 3 years
algorithmiaapipythondata-apimachine-learning
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James Sutton - Senior Solutions Architect at NVIDIA