Payam Pakarha is a Product Data Scientist with a decade of experience applying statistical rigor and machine learning to product and security problems across fintech and e-commerce, now driving analytics and experimentation for Meta’s Reality Labs. With a PhD in experimental astroparticle physics and hands-on experience in computer vision, OCR, and large-scale ML pipelines, he bridges deep quantitative foundations and production-grade data engineering. He has led cross-functional projects at RBC and Shopify that turned ambiguous business needs into explainable ML solutions and repeatable deployment workflows. Based in Burlingame, CA, he favors challenges that span the full data lifecycle—from ingestion and processing to modeling and visualization—and mentors teams to adopt reproducible, scalable practices. Notably, his background in physics informs a hypothesis-driven approach to product experimentation and security analytics.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Experimental astroparticle physics, Doctor of Philosophy - PhD Experimental astroparticle physics at University of Zurich
Master of Science - MS Engineering Physics, Master of Science - MS Engineering Physics at EPFL
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Sharif University of Technology
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