Olesia Elfimova is a Quantitative Technologist and infrastructure-focused software engineer with nine years of professional experience spanning trading, cloud storage, and financial data platforms. She has built automation and build systems at Radix Trading and Dropbox and worked on data lake and risk data platforms at Bloomberg and American Express, combining backend engineering with data-intensive workflows. A rising senior at Stony Brook (with graduate studies at UW–Madison), she blends applied math and AI/data science training with practical systems design. Olesia is comfortable shipping production-grade infrastructure and developer tooling, and she favors automating repetitive workflows to improve reliability and scale. Based in New York, she brings a hybrid quant-engineer mindset that helps bridge trading needs and robust software practices.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Madison
Bachelor of Science - BS Computer Science (Specialization in AI and Data Science) & Applied Math and Statistics, Bachelor of Science - BS Computer Science (Specialization in AI and Data Science) & Applied Math and Statistics at Stony Brook University
Contributions:3 releases, 12 commits, 11 pushes in 1 month
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