AI Solution Architect (Vice President) at State Street
Karnataka, India
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Summary
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Sangeeth Keeriyadath is an AI Solution Architect and VP with 18 years of engineering experience, currently leading responsible Generative AI and ML initiatives at State Street. He combines deep systems-level expertise in C++, CUDA and kernel/device-driver programming with practical ML engineering—designing performant, cloud-native deployments and GPU-optimized frameworks. His career spans low-level virtualization and storage innovations at IBM to productionizing distributed ML (SnapML, WML-CE) and building guardrails for enterprise generative systems. Sangeeth mentors early-career engineers, authors papers and patents, and contributes to open-source performance tooling across CUDA and RAPIDS ecosystems. Notably, he has built end-to-end solutions for unstructured document extraction, anomaly detection, and low-latency ONNX inference in legacy environments, showing a rare ability to bridge mainframe-era systems with cutting-edge AI. Based in Karnataka, India, he focuses now on honing Generative AI solutions that are interpretable, reliable, and cost-efficient at scale.
8 years of coding experience
18 years of employment as a software developer
CCE-Proficience, Probability Foundations for Machine Learning, CCE-Proficience, Probability Foundations for Machine Learning at Indian Institute of Science (IISc)
B Tech, Computer Science, B Tech, Computer Science at College of Engineering and Technology
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Sangeeth Keeriyadath - AI Solution Architect (Vice President) at State Street