Summary
Johnson Zhou is a quantitative technologist with nine years of software engineering experience, currently building trading systems at Radix Trading in Los Angeles. He combines low-latency market-data engineering and research experience from HRT and Radix with a strong systems and ML background gained through internships at Apple, Intel, and Kuaishou. His work spans high-performance C++ and backend Python systems, demonstrated by large-scale production contributions to WebKit and a DNS health/monitoring platform for China’s largest provider. Johnson has research experience in vision-and-language tasks at UCLA and has taught advanced deep learning, reflecting a blend of applied research and production engineering. Notably, he has shipped tens of thousands of lines into critical open-source engine code and built tooling for audio ML and VM/graphics virtualization, showing an aptitude for both systems-level and ML-driven solutions. Currently studying CS at UCLA, he brings a curious, cross-domain approach to solving low-latency, data-intensive problems.
9 years of coding experience
1 year of employment as a software developer
YK Pao School
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Los Angeles
Summer quarter, Math, Summer quarter, Math at Stanford University
English, Chinese