Parthiv Apsani is a software engineer with nine years of experience building low-latency systems and quantitative tools, currently a Member of Technical Staff at Modal in New York. He has deep exposure to high-frequency trading and systematic strategies from roles at Cubist, internships at Jane Street, Jump Trading, Citadel, and hands-on production experience at Dropbox and the U.S. Naval Research Laboratory. Comfortable at the intersection of software engineering and quantitative finance, he translates research-grade ideas into robust production code for equities and market-making contexts. A UI/ML/startup-savvy background from internships at Major League Hacking and Yext complements his core strengths in performance engineering and algorithmic thinking. Notably, his trajectory shows early and repeated selection by top trading firms, signaling strong technical rigor and domain fit for quant systems.
9 years of coding experience
5 years of employment as a software developer
High School Degree Computer Science, High School Degree Computer Science at Thomas Jefferson High School for Science and Technology
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Illinois Urbana-Champaign
Contributions:4 PRs, 123 pushes, 8 branches in 1 year 1 month
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Parthiv Apsani - Member Of Technical Staff at Modal