Summary
Artin Spiridonoff is a PhD candidate and Engineering Data Scientist at Snap Inc. with nine years of experience applying machine learning and distributed optimization to improve ads marketplace performance and user experience. He holds a PhD in Systems Engineering from Boston University and has published work on federated learning, communication-efficient algorithms, and average consensus. At Snap and previously at Radial Analytics he built practical ML tooling, including a probability calibration module and PyTorch-based neural models, bridging theoretical research with production needs. Based in Seattle, he combines rigorous academic depth with hands-on engineering to tackle communication-constrained, large-scale learning problems.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Boston University
High School, High School at Allameh Tabatabei Complex of Cultural and Educational Units (ATCCE)
Bachelor’s Degree, Bachelor’s Degree at Sharif University of Technology
English, Persian