Hailey Ni is a Kafka-focused software engineer based in Houston with two years of industry experience building reliable distributed systems at Confluent. Her background blends a strong quantitative foundation—BS in Financial Actuarial Mathematics and Statistics from UCLA—with a CS master’s from Rice, enabling her to approach systems design with analytical rigor. She has full-stack product experience from a Meta internship where she designed and shipped an internal curation tool, connecting Hack/PHP backends and React/GraphQL frontends while iterating with end users. Earlier actuarial roles at AIG sharpened her data engineering, automation (Python, VBA, C++), and model-validation skills, so she brings both production engineering and measurement discipline to streaming platforms. Colleagues would note her uncommon combination of actuarial precision and hands-on software delivery across backend, frontend, and data tooling.
2 years of coding experience
1 year of employment as a software developer
High School, Mathematics, Science and Economics, High School, Mathematics, Science and Economics at River Valley High School, Singapore
Master's degree, Computer Science, Master's degree, Computer Science at Rice University
Bachelor of Science - BS, Financial Actuarial Mathematics and Statistics, 3.88/4, Bachelor of Science - BS, Financial Actuarial Mathematics and Statistics, 3.88/4 at University of California, Los Angeles
Contributions:4 reviews, 11 PRs, 5 comments in 1 year 8 months
apache-kafkakafka-consumerapachescalakafka
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