Olesia Elfimova

Quantitative Technologist

New York, New York, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Madison
bookBachelor 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
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Stackoverflow

Stats
1reputation
0reached
1answer
0questions
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Github Skills (29)

reinforcement-learning9
keras9
hyperparameter-tuning9
collaboration8
python8
deep-learning8
api8
data-versioning8
gpu8
machine-learning8
pytorch8
data-science7
visualization7
datasets7
tensorflow7

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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owlesia/owlesia

Sep 2021 - Feb 2025

Contributions:107 pushes, 1 branch in 3 years 5 months
Contributions:3 releases, 12 commits, 11 pushes in 1 month
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