Executive AI Advisor
Anuradha Choudhury is a technology executive with more than 25 years leading engineering, AI/ML, and operations organizations at scale. She has advised and operated within organizations ranging from high-growth private companies to Fortune 500 enterprises, building deep fluency in how AI transformation actually gets executed — not just strategized — inside complex, regulated environments.
Her foundation in large-scale, mission-critical systems includes leading the engineering effort behind Amazon Alexa's location-based services, scaling infrastructure from 400 to 40,000 transactions per second at peak across more than 80 Alexa features, and driving the security strategy for Amazon's data-center switches to meet Department of Defense contract standards — experience that continues to inform her rigorous, execution-oriented approach to enterprise AI risk and technology governance today.
As Executive AI Advisor to Velastegui Ventures, Anuradha advises the firm's CEO and COO on AI product strategy and works directly with VV's clients — across healthcare, finance, and technology — on AI adoption strategy and the design of agentic workflows. She brings an operator's perspective to the boards and C-suite leadership teams VV advises, translating technical risk and opportunity into terms relevant to enterprise-scale AI governance and oversight decisions.
Anuradha currently serves as Chief Technology Officer at Reputation, a SaaS platform serving more than 2,000 enterprise and SMB customers, where she led a company-wide architecture overhaul that prepared the organization's data for AI features and delivered a 10x performance gain, and transformed engineering and technical support into a modern, AI-driven organization spanning product definition, deployment, and customer metrics tracking.
She holds a Master of Computer Science from Arizona State University and a Bachelor of Computer Science from the National Institute of Technology, Bhopal, India, and completed the University of Texas at Austin's certification program in AI/ML for Business Applications in 2024.