Linda Zheng is an algorithm engineer with seven years of software engineering experience, blending low-level performance work with production trading systems at Hudson River Trading. She has strong systems and back-end chops honed through internships at Meta, Instagram, Shopify, and Wish, and contributed to Meta’s Cinder — a high-profile, performance-oriented CPython variant — where she implemented LIR unit tests, refactored a register allocator, and translated C helpers into LIR. A University of Waterloo software engineering student, Linda moves comfortably between algorithmic thinking and pragmatic engineering, focusing on performance-sensitive code paths. Her background in data relevancy and data science internships complements her systems work, giving her a rare full-stack perspective on latency, correctness, and reliability.
7 years of coding experience
2 years of employment as a software developer
International Baccalaureate High School Diploma, International Baccalaureate High School Diploma at Colonel By Secondary School
Bachelor's of Software Engineering, Bachelor's of Software Engineering at University of Waterloo
Cinder is Meta's internal performance-oriented production version of CPython.
Role in this project:
Back-end Developer
Contributions:28 commits in 3 months
Contributions summary:Linda's primary contributions involved enhancing the Cinder project, a performance-oriented production version of CPython. They focused on implementing unit tests, specifically for integer loading in the LIR (Low-Level Intermediate Representation) generation phase. Furthermore, the user added features for logging C helper function usage and refactored the register allocator to handle instructions with side effects. Their work also included translating C helper functions into LIR.
Contributions:10 pushes, 1 branch in 2 years 7 months
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Linda Zheng - Algorithm Engineer at Hudson River Trading