Summary
Raghav Saboo is a machine learning lead with 11 years of experience building personalization and search systems at scale, currently driving ML strategy and execution as Tech Lead at Uber. He blends rigorous academic training in statistics, econometrics, and probabilistic ML from Duke and Imperial with hands-on engineering expertise in Spark, TensorFlow, Kubernetes, and cloud platforms. His career spans product and research roles at DoorDash, Amazon Alexa NLU, KPMG, and Deloitte, where he delivered revenue-driving ML solutions, launched language models, and led cross-functional teams. Raghav is comfortable translating complex statistical ideas for business stakeholders and mentoring engineers to raise team-level delivery and innovation. He also has domain breadth from energy policy work at the World Bank and a startup founding stint, demonstrating an ability to jump verticals and apply ML to non-obvious problems. Known for connecting dots across disciplines, he focuses on practical, production-ready AI that measurably impacts business outcomes.
11 years of coding experience
A Levels and IGCSE, High School/Secondary Diplomas and Certificates, A Levels and IGCSE, High School/Secondary Diplomas and Certificates at Harrow International School
Master’s Degree, Statistics, Machine Learning, Econometrics, Master’s Degree, Statistics, Machine Learning, Econometrics at Duke University
MEng, Chemical Engineering, First-class Honours, MEng, Chemical Engineering, First-class Honours at Imperial College London