Valeriia Pervushyna
Quant Developer at Stealth Startup
Abu Dhabi Emirate, United Arab Emirates
Summary
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Rockstar🎓
Top SchoolValeriia Pervushyna is a Quant Developer with eight years of experience focused on making quantitative finance and DeFi systems production-ready. She has built execution logic, on-chain monitoring, and end-to-end reward campaign systems at Brahma, and now applies that expertise at a stealth startup in Abu Dhabi. Her background includes market microstructure research and algorithmic optimization at Hudson & Thames, where she contributed to MlFinlab and Arbitragelab and taught practical backtesting and labelling techniques. Valeriia excels at strengthening observability and analytics to turn research into actionable trading and risk processes, with a knack for protocol decoding and transaction transcription. She combines rigorous academic training in quantitative finance with hands-on engineering—bridging algorithm design, data infrastructure, and deployment. Colleagues rely on her to tame complex execution problems and translate sophisticated quant ideas into reliable, auditable systems.
8 years of coding experience
6 years of employment as a software developer
Master's degree Quantitative Finance, Master's degree Quantitative Finance at University of WarsawIgor Sikorsky Kyiv Polytechnic Institute
Github Skills (8)
trading9
quantitative-finance9
finance9
machine-learning8
algorithmic-trading8
python8
kpi7
testing4
Programming languages (3)
Github contributions (5)
Brahma-fi/brahma-vaults-backtests
Jul 2022 - Nov 2022
The official repository bor Brahma.fi vault backtests.
Contributions:9 pushes in 4 months
pythonbacktestsborvault
vlrie/vlrie.github.io
Mar 2022 - Mar 2022
Contributions:24 pushes, 1 branch in 1 day
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