Sayan Patra is a machine learning engineer with a PhD in Statistics from Duke and over a decade of experience turning statistical research into production ML systems. He led development of Greykite forecasting and a distribution-based Greykite anomaly detection library at LinkedIn, projects that collectively enabled daily online model serving and delivered tens of millions in annual savings. Now at Meta, he brings deep expertise in time series, constrained Bayesian inference, and scalable deployment APIs, having onboarded diverse metrics across cadences and horizons. Comfortable bridging research and engineering, he has a history of accelerating algorithms (e.g., 14x sampler speedup in prior research) and mentoring others to apply advanced statistical methods in production.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Duke University
Master's of Statistics (M.Stat) Statistics, Master's of Statistics (M.Stat) Statistics at Cybersecurity
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