Summary
Uma Rajagopalan is a Senior Data Scientist and AI Engineer based in New York with a track record of turning ML research into production-ready systems that drive measurable business impact. Over recent roles she has specialized in GenAI and NLP—building a GPT-4o-powered Scope of Work generation platform, semantic parsing pipelines, and dynamic evaluation systems that cut client onboarding time by 35%. She designs scalable data infrastructure (Trino, MongoDB, Azure AI Search) and event-driven microservices (Dapr, Azure Service Bus, FastAPI) to support high-throughput, interpretable AI applications. Earlier work spans experimentation and personalization at Ibotta, recommendation engines and churn modeling at WeShort, and enterprise data science at ADP, reflecting strong product thinking and cross-functional collaboration. She pairs an MS in Business Analytics with hands-on engineering to bridge data science, backend systems, and UX for enterprise adoption—an engineer who “loves data” and focuses on shipping reliable, evaluable AI.
4 years of coding experience
6 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at San Francisco State University, Lam Family College of Business
Tamil, Telugu, Hindi, English