Summary
Sudnya Diamos is a Machine Learning Researcher and seasoned engineer with 16 years of experience building and scaling production AI and data systems from founding startups to enterprise teams in Menlo Park. She has repeatedly acted as an early technical leader—helping define engineering practices, architecting infrastructure-as-code, and shipping core platform backends that enabled first customers and Fortune 50 launches. Her background spans low-level GPU architecture at NVIDIA to designing telemetry, robotics orchestration, and ML-driven production planning for automated farms, giving her a rare blend of systems, infrastructure, and applied ML expertise. As a founding engineer at Coactive AI and Attune, she translated research and prototypes into customer-facing products and commercial wins, including high-stakes POCs for large strategic clients. Currently contributing to RelationalAI and TensorWave, she focuses on making advanced AI practically adoptable at scale. Colleagues describe her as the engineer who connects research rigor to operational reliability—frequently surfacing non-obvious trade-offs between model design, data pipelines, and deployed system resilience.
16 years of coding experience
14 years of employment as a software developer
MS Computer Science, MS Computer Science at Georgia Institute of Technology
English