Summary
Crystal Wang is a quantitative researcher and software engineer with eight years of hands-on experience building low-latency systems, ML pipelines, and production backend services at firms including Citadel, Google, Microsoft, and Bloomberg. A dual Computer Science and Mathematical Economics major at MIT, she combines rigorous quantitative thinking with practical engineering—moving from latency analysis and infrastructure design to NLP and data-driven feature work across multiple internships. At Citadel she transitioned from software engineering to quantitative research, reflecting a blend of production-grade coding and research-oriented modeling. Beyond engineering, she organizes hackathons and career fairs and teaches CS, signaling a knack for community-building and mentorship that complements her technical depth. Open to part-time roles and internships, she brings both fast prototyping experience and a track record of shipping reliable systems in large-scale environments.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science and Mathematical Economics, Bachelor of Science - BS Computer Science and Mathematical Economics at Massachusetts Institute of Technology
Stuyvesant High School
Chinese, fujianese chinese, Spanish