Zhouyang Gao
Quant Trading Intern at Anytime AI
Newark, New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolZhouyang Gao is a Quantitative Finance master's candidate at Rutgers Business School and a software-savvy quant currently interning in quant trading while also working as a software engineer at Anytime AI. With dual bachelor's degrees in Computer Science and Econometrics from the University of Minnesota and nine years of industry experience, Zhouyang blends rigorous statistical modeling with production-grade coding in Python, C++, R and SQL. Past roles in equity research and data analysis demonstrate hands-on experience building valuation models and delivering client-facing insights, and contributions to the notable open-source google/j2objc project show practical back-end work improving code translation for cross-platform development. Comfortable at the intersection of finance and engineering, Zhouyang is passionate about deploying algorithmic strategies and scalable tools to solve real-market problems. Colleagues would describe him as technically versatile and eager to turn complex quantitative ideas into reliable, testable systems.
9 years of coding experience
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of MinnesotaMaster's degree, Quantitative Finance, Master's degree, Quantitative Finance at Rutgers Business School
Github Skills (5)
javas10
objective-c10
code-generation10
java10
testing9
Programming languages (2)
Github contributions (4)
google/j2objc
Oct 2016 - Mar 2018
A Java to iOS Objective-C translation tool and runtime.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 77 commits, 1 push in 1 year 5 months
Contributions summary:Zhouyang's commits primarily focus on modifying the J2ObjC tool, a Java to iOS Objective-C translation tool. The contributions involve adding functionality, and improving the tool's code generation capabilities by removing unnecessary elements. The changes include modifications to the code differences and test files. This work contributes to the project's ability to accurately translate Java code for iOS development.
objective-ctranslation-tooltranslationruntimeios
zhouyanggao/omr
Oct 2016 - Nov 2016
Contributions:22 pushes, 1 branch in 19 days
runtimesreliableperformancecross-platformmacos
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