Summary
Zhe Chng is a quantitative researcher and rising senior in Computer Science at Georgia Tech who applies machine learning and software engineering to high-frequency options trading and volatility market making. With internships and roles at GTS, Squarepoint, Meta, and TikTok, he has delivered production-facing models for automated volatility trading and computer vision systems, and contributed to continual learning research in egocentric video. He combines hands-on Python and ML expertise with academic experience—publishing on weakly supervised object representation and teaching large CS classes—to bridge research and production. Outside trading desks, he writes technical machine learning content for a widely read blog, demonstrating an ability to explain complex topics to broad audiences.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Georgia Institute of Technology
A Level H2 Physics Computing Mathematics Economics H3 Semiconductor Physics and Devices (NTU), A Level H2 Physics Computing Mathematics Economics H3 Semiconductor Physics and Devices (NTU) at Dunman High School
English, Chinese