Anna Starovoit is a Machine Learning Engineer with nine years of cross-disciplinary experience building production ML systems, from drug-target ranking and LLM-based R&D assistants to ad-tech optimizations and large-scale user profiling. She has led technical teams at BenevolentAI and scaled ML services at Yandex, including anomaly detection on graphs of over 35 billion identifiers and an AutoML pipeline that improved partner models. At Meta she now focuses on helping advertisers grow app sales, drawing on prior work automating VM lifecycles at Google and designing recommendation and A/B frameworks for social products. Unusually, her background blends academic research in space-weather forecasting with hands-on product engineering and nonprofit leadership scaling educational programs to tens of thousands of students. This mix gives her a pragmatic research mindset and proven ability to turn complex ML research into reliable, revenue-driving systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer science, Bachelor's degree Computer science at Higher School of Economics
Contributions:4 pushes, 1 branch in 4 years 10 months
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Anna Starovoit - Machine Learning Engineer at Meta