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Daniel Svonava

Daniel is an entrepreneurial technologist with a 20-year career starting with competitive programming and web development in high school, algorithm research, and Google & IBM Research internships during university, first entrepreneurial steps with his computational photography startup, and a 6-year tenure as a tech lead for ML infrastructure at YouTube Ads, where his ad performance forecasting engine powers the purchase of $10B of ads per year.

Presently, Daniel is a co-founder of - an ML infrastructure startup that makes it easier to build information-retrieval-heavy systems - from Recommender Engines to Enterprise-focused LLM apps.


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