Jennifer Chen is an ML engineer based in San Francisco with eight years of software and research experience spanning fintech, trading, and data science. She combines a Computer Science background with a Philosophy minor from McGill, which informs a thoughtful, analytical approach to model development and problem framing. Her internships at Citadel, Hudson River Trading, Bloomberg, and Coinbase show hands-on experience with low-latency systems and production-grade engineering, and she now applies that rigor at Affirm. Jennifer has blended academic research and practical software work—contributing to university data science projects and blockchain development—demonstrating comfort moving between prototype research and scalable implementation. Colleagues describe her as intellectually curious and pragmatic, able to translate complex ML research into reliable engineering outcomes.
8 years of coding experience
1 year of employment as a software developer
International Baccalaureate Diploma & Ontario Secondary School Diploma, International Baccalaureate Diploma & Ontario Secondary School Diploma at Bayview Secondary School
SHAD Summer Program, SHAD Summer Program at University of Saskatchewan
Yale Young Global Scholars Summer Program, Yale Young Global Scholars Summer Program at Yale University
Bachelor of Science, Computer Science Major, Philosophy Minor, Bachelor of Science, Computer Science Major, Philosophy Minor at McGill University
A native app built using React that enables users to enter in the tasks that they need to do, organize their tasks, delete tasks, and check them off when completed.
Contributions:6 pushes, 1 branch in 2 years 10 months
reactreact-nativenative-apporganizeto-do
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