Summary
Rajiv Verma is a Chief Architect and data-first technology leader with 12+ years of experience building enterprise-grade analytics, ML, and automation platforms that drive customer engagement and operational autonomy. He has led data and GenAI strategy at scale—designing canonical data models, production ML/GenAI pipelines, and an Autonomous Work Engine that underpins an IT System of Intelligence used by Fortune 500 customers. Rajiv blends hands-on engineering (ETL, PL/SQL, Java) with product-focused analytics to convert messy enterprise sources into reliable Customer 360 and knowledge-graph solutions that reduce churn and lift subscriber growth. He has a track record of embedding GenAI into core data flows—using augmentation and inference to make automated decisions rather than treating AI as a bolt-on. A pragmatic leader and mentor, he excels at turning complex business problems into auditable, declarative architectures (Configuration-as-Code) that operators can control. Trained in Data Science at UC Berkeley, he pairs rigorous technical judgment with a bias for ownership and measurable business impact.
12 years of coding experience
23 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at UC Berkeley School of Information
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Delhi Technological University (Formerly DCE)
Associate's Certificate, Project Management, Associate's Certificate, Project Management at The George Washington University