Director, V-Lab And VRI Technology at Volatility and Risk Institute at NYU Stern
Town of Carmel, New York, United States
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Summary
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Rockstar
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Top School
Rob Capellini is a technology leader with a decade of experience blending software engineering, analytics, and operational leadership as Director of V-Lab and VRI Technology at NYU Stern. He leads a technical team delivering real-time volatility research applications for academics and market practitioners, translating econometric insight into production-grade tools. His background combines an MBA in quantitative finance and a BS in computer science and operations research, enabling him to straddle finance, analytics, and engineering effectively. Earlier roles at Sikorsky and the US Army honed his systems-thinking, program management, and reliability engineering skills at scale. An active open-source contributor, he has improved core functionality in projects like Adafruit’s CircuitPython and enhanced i18n support in Next.js through next-i18next, showing hands-on work from embedded systems to full-stack testing. Based in the Hudson Valley, he brings a pragmatic, research-driven approach to building robust, production research infrastructure.
11 years of coding experience
3 years of employment as a software developer
MBA, Finance, Quantitative Finance, Financial Systems and Analytics, Graduated with distinction (top 10%), MBA, Finance, Quantitative Finance, Financial Systems and Analytics, Graduated with distinction (top 10%) at New York University - Leonard N. Stern School of Business
Bachelor of Science - BS, Computer Science, Mathematics (Operations Research Concentration), Bachelor of Science - BS, Computer Science, Mathematics (Operations Research Concentration) at Loyola University Maryland
Contributions:58 commits, 25 PRs, 261 comments in 5 months
Contributions summary:Rob primarily contributed to the `next-i18next` project by implementing and refining the `<Link>` component to support internationalization (i18n) within Next.js applications. Their work involved modifying the component to handle the `as` and `href` props correctly, including the addition of unit tests using Jest and Enzyme for testing. They also addressed code climate violations, whitespace issues, and made requested changes, indicating a focus on code quality. Furthermore, they refactored parts of the codebase and added e2e tests.
CircuitPython - a Python implementation for teaching coding with microcontrollers
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:1 review, 3 PRs, 6 comments in 28 days
Contributions summary:Rob primarily contributed to the codebase by converting existing modules to utilize the `MP_REGISTER_MODULE` macro. This involved modifying header files and shared binding files, indicating a focus on the underlying structure and organization of the CircuitPython modules. The user also removed outdated comments. These changes suggest the user's work centered on maintaining and improving the core functionality of CircuitPython for microcontrollers.
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