Joseph Tenini is a Staff Data Scientist with a decade of experience building real-time personalization and optimization systems, currently applying contextual multi-armed bandits and recommender models at MongoDB. He has led end-to-end deployments that span batch learning on distributed datasets to sub-100ms online inference, marrying rigorous mathematical training (PhD in Mathematics) with product and engineering collaboration. His background includes principal roles at Universal Music Group and Red Ventures, plus teaching applied machine learning, reflecting both industry impact and mentorship. Notably, his work consistently emphasizes cost-sensitive decisions and operationalizing online learning at scale—bringing academic depth to high-throughput, business-driven ML solutions.
10 years of coding experience
10 years of employment as a software developer
University of Georgia
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Furman University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.