Summary
Sepideh Azarnoosh is a senior machine learning engineer with over a decade of experience delivering production ML and full-stack solutions at scale. She currently leads ML initiatives at Meta, following leadership and hands-on roles at Snap Inc. and a core ML engineering stint at Ticketmaster where she built models for Verified Fan, processed terabytes of data with batch and stream architectures, and implemented real-time user classification using AWS Lambda. Her work highlights a strong blend of systems engineering and machine learning, including real-time inference, large-scale analytics, and Lambda architecture. She brings a solid research foundation from USC and UC Riverside, with work in continuous-time Bayesian networks and experiment-management tooling. Based in the United States, she combines academic rigor with practical, auditable production-grade ML solutions.
12 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern California
Amirkabir University of Technology
Master's degree, Computer Engineering, Master's degree, Computer Engineering at University of California, Riverside