Evan Yang is a quantitative analyst and software engineer with seven years of experience bridging front-end development, QA automation, and quantitative research. Based in Fremont, CA and educated at Cornell in Mathematics and Computer Science, he contributes to open source (notably UI improvements for a ChatGPT demo) and balances model-driven thinking with practical UX sensibilities. His recent roles span a quant fund at Cornell, software engineering in data science, and hands-on QA work at Anduril using Playwright, Jest, Python, and JavaScript. Evan has experience in trading and technology programs at firms like Jane Street and Citadel, reflecting strong quantitative instincts and fast learning in high-pressure environments. Known for shipping small but impactful UX features—like copy-to-clipboard and smooth scrolling—he focuses on user-centric tooling that accelerates developer productivity. Colleagues find him comfortable moving between rigorous mathematical problems and production-facing web interfaces.
7 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Mission San Jose High School
Bachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Cornell University
Contributions:11 reviews, 32 commits, 35 PRs in 17 days
Contributions summary:Evan primarily focused on enhancing the user interface and functionality of the ChatGPT demo application. Their contributions include implementing features to automatically scroll to the bottom of the page, adding a copy code block feature, and fixing bugs related to the copy functionality. They also introduced UI improvements like adding a "back to top" button and setting a "copy" button style. The user's work demonstrates a focus on improving the user experience through JavaScript, and HTML, with a clear emphasis on front-end development within an Astro and SolidJS environment.
Contributions:1 release, 17 commits, 16 pushes in 11 months
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