Summary
Rubab Khan is a Solutions Architect at AWS with nine years of experience architecting cloud-native data platforms and applied AI solutions for Fortune-level customers. She advises C-level executives as a Field CTO, driving GenAI strategy, complex sales lifecycles, and hands-on POCs that translate business goals into production outcomes. Previously a Principal Engineer and technical leader at Tamr, she led global ML engineering teams, owned product roadmaps across multiple releases, and built billion-record data mastering pipelines on AWS and Azure. Her background in astrophysics and NASA-funded research surfaces in a rigorous, measurement-driven approach to scalable pipelines and cost-optimized cloud architectures. Known for moving teams from prototype to contract, she combines deep domain expertise in identity resolution and data foundations with practical experience across insurance, financial services, public sector and life sciences. Based in Seattle, she blends academic rigor with customer-facing leadership to make sophisticated ML and data systems reliable and operational.
9 years of coding experience
16 years of employment as a software developer
B.A., Astrophysics, B.A., Astrophysics at Columbia University
Doctor of Philosophy (Ph.D.), Astronomy, Doctor of Philosophy (Ph.D.), Astronomy at The Ohio State University