Anya Chopra is a Cybersecurity Analyst with nine years of experience and a degree in Cybersecurity Management and Analytics from Virginia Tech, currently supporting PBGC at NR Labs in the Washington DC–Baltimore area. She has practical enterprise security experience from internships at Amneal Pharmaceuticals and TekSynap, and hands-on IT support work in Fairfax County schools, giving her a blend of operational and defensive security perspectives. Beyond day-to-day analyst duties, Anya contributes to open-source trading bot software (Hummingbot), adding Cython-backed execution strategies including TWAP, which highlights her comfort with performance-sensitive back-end development. She brings a pragmatic approach to securing systems that balances technical implementation with policy-driven risk management. Colleagues describe her as detail-oriented and adaptable, able to move between code-level fixes and broader control frameworks. Her background suggests a rising practitioner who pairs analytical rigor with real-world tooling experience across both public and private sectors.
9 years of coding experience
Cybersecurity Management and Analytics, Cybersecurity Management and Analytics at Virginia Tech
Open source software that helps you create and deploy high-frequency crypto trading bots
Role in this project:
Back-end Developer
Contributions:16 commits, 12 PRs, 3 comments in 2 months
Contributions summary:Anya contributed to the development of trading strategies, specifically focusing on `execution1`, `execution2`, and `execution4` (TWAP) strategies, as indicated by the commit messages and code changes. The user added core functionality for these strategies, with the initial commits focusing on `execution1` features, including the Cython implementation of strategy logic. Subsequent commits expanded functionality to `execution2` and then `execution4` (TWAP), adding core trading logic.
Contributions:24 pushes, 6 branches, 1 comment in 2 months
market-makingtrading-botbottradingcrypto
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