Nikita Glukhov is a quantitative researcher and product-focused trader with 9 years of experience building and managing delta-neutral crypto portfolios and tokenized financial products, most recently helping operate a $500M+ stablecoin portfolio at Resolv Labs. He combines a strong academic foundation in applied mathematics and statistical learning with hands-on execution—running $100M+ ETH/BTC perp books, hedging, reconciliations, and delivering double-digit APY outcomes. Nikita bridges quant modeling, risk engineering, and product development, having led cross-functional teams to deliver on-chain indexers, trading backoffice systems, and DeFi integrations. His background spans ML/DL research, high-performance bioinformatics pipelines, and open-source contributions improving cross-platform build tooling (notably real-world fixes to Halide’s Windows support), showing attention to robustness and portability. Independent, results-oriented, and comfortable in small teams tackling big problems, he focuses on medium-to-low frequency trading, portfolio optimization, and scalable DeFi products.
9 years of coding experience
1 year of employment as a software developer
Phd student (on academic leave), Applied Mathematics, Phd student (on academic leave), Applied Mathematics at Skolkovo Institute of Science and Technology
Joint Master's degree, Statistical learning theory, Joint Master's degree, Statistical learning theory at Higher School of Economics
a language for fast, portable data-parallel computation
Role in this project:
Back-end Developer
Contributions:44 commits, 4 PRs, 11 comments in 6 months
Contributions summary:Nikita primarily focused on improving the build process and cross-platform compatibility of the Halide library. They implemented and debugged Windows DLL support, retrieving error messages and handling MSVC headers. The contributions included fixing formatting issues and correcting errors, demonstrating a deep understanding of the build process and platform-specific requirements. The user also addressed header file ordering, suggesting a focus on code quality and maintainability.
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