Nicholas Ribeiro is an incoming quantitative trader and Yale senior studying Computer Science and Statistics & Data Science, combining strong software engineering chops with hands-on quantitative and equity research experience. He has interned and now joins Susquehanna, bringing practical trading exposure alongside leadership managing a ~$500k student equity portfolio at the Yale Student Investment Group. Nicholas has built production-facing software as a team lead for YMeets and contributed bug fixes and feature improvements to a prominent Angular UI component library, demonstrating front-end fluency in TypeScript and integration work. His research at Yale’s Efficient Computing Lab focused on making LLM fine-tuning more parameter-efficient, reflecting an interest in applied ML for computational efficiency. Equally comfortable in Python, R, C/C++, Java, and web stacks, he pairs quantitative modeling with pragmatic engineering to deliver measurable results. He’s curious, organized, and actively expanding his technical toolkit while staying open to collaborations and mentorship.
6 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science and Statistics & Data Science, Bachelor's degree, Computer Science and Statistics & Data Science at Yale University
Contributions:319 reviews, 69 commits, 151 PRs in 1 year 4 months
Contributions summary:Nicholas primarily contributed to the `po-angular` repository by fixing bugs and improving the functionality of Angular UI components. Their commits addressed issues related to dynamic forms, popups, and date pickers, specifically resolving intermittent tests and correcting model updates. Furthermore, they refactored components like the switch, modal-footer and radio group, and select option template, integrating them with existing UI design and component structures. The user also worked on image component improvements.
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Contributions:27 commits, 2 PRs, 29 pushes in 7 months
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