Joseph Liu is a Junior Quantitative Researcher in Chicago with three years of hands-on experience building production-ready NLP systems for finance and research. At a $1B AUM quant hedge fund he designed an end-to-end text cleaning and semantic embedding pipeline that cut processing time from hundreds of hours to under ten and achieved 97% accuracy, deploying real-time tooling in TypeScript/Next.js. His background blends mathematical rigor (3.9 GPA in Math/Data Science), probabilistic modeling (Markov chains for archaeological movement), and practical ML—having automated survey coding that reduced 125 hours of work to minutes. He co-founded an AI Q&A platform for theological texts and has led data-driven projects in sports analytics and cloud-backed mobile products, showing a knack for turning messy, domain-specific text into actionable insights. Not obvious at first glance: he has repeatedly shipped end-to-end products that bridge research prototypes to production workflows, comfortable from algorithm design through full-stack deployment.
3 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mathematics: Data Science and Statistics, Math Major GPA: 3.9/4.0, Bachelor's degree, Mathematics: Data Science and Statistics, Math Major GPA: 3.9/4.0 at Biola University
IB Diploma, 11-12, IB Diploma, 11-12 at Sekolah Pelita Harapan
Contributions:1 review, 3 PRs, 18 pushes in 1 month
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