Ilan Filonenko is a four-time returning engineering intern at Bloomberg LP, where he has designed and architected distributed systems at both the application and infrastructure level. Previously, Ilan was an engineering consultant and technical lead in various startups and research divisions across multiple industry verticals, including medicine, hospitality, finance, and music. Ilan’s current research studies algorithmic, software, and hardware techniques for high-performance machine learning, with a focus on optimizing stochastic algorithms such as stochastic gradient descent (SGD).
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