Ophir Sneh is a founder and seasoned machine learning engineer with 11 years of experience building production ML systems, low-latency infrastructure, and data pipelines across startups and major tech teams. He has driven ML and edge computing efforts at Meta’s Reality Labs and news ranking teams, shipped personalization and search infrastructure at Shaped, and now leads predictive efforts at Modern Forecast Trading. Comfortable across research and production, he has published and taught advanced CS topics as a course assistant at UIUC and earlier worked on abstractive summarization and large-scale data extraction at Facebook. He blends rigorous mathematical and statistical thinking with practical systems engineering—often tackling hard, interdisciplinary problems like neural interfaces and real-time personalization. Based in New York, Ophir is continuously learning new domains and applies that curiosity to products that require both theoretical depth and production-grade reliability.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
Contributions:16 commits, 1 PR, 16 pushes in 2 days
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