Tyson Wang is a software engineer based in New York with 10 years of experience building data-driven systems for quantitative trading and research. He has worked on QTP teams at Schonfeld and now contributes to engineering at Citadel, blending low-latency production software with applied machine learning. His background includes ML-focused research at Carnegie Mellon where he built large crawlers and curated datasets, and internship work using NLP and LSTMs for financial analysis at ARK. Tyson combines strong Python/data skills and production engineering experience with domain knowledge in trading and alternative data, enabling him to turn experimental models into usable signals. He favors practical solutions that bridge research and trading execution, and his career shows a pattern of moving from research prototyping to robust production deployments.
10 years of coding experience
3 years of employment as a software developer
St. Mary's International School
Bachelor of Science - BS Computer Science Artificial Intelligence, Bachelor of Science - BS Computer Science Artificial Intelligence at Carnegie Mellon University
Contributions:53 commits, 61 pushes, 1 branch in 5 years 5 months
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