Summary
Daniel Wang is a software engineer with 9 years of experience specializing in low-latency, high-throughput distributed systems and performance optimization. He currently drives millisecond-sensitive advertising infrastructure at Amazon and previously developed video encoding features for PS5 and Xbox at AMD, giving him rare end-to-end exposure from firmware and drivers to large-scale cloud services. Comfortable in C/C++, Java, TypeScript and CUDA, he focuses on parallelization, memory access patterns, and micro-optimizations that shave milliseconds and reduce lost requests at scale. A former Head TA at the University of Toronto, he pairs hands-on engineering with teaching and mentorship, having structured courses and onboarded new hires. Outside work he obsessively tunes hardware for top 3DMark scores, a hobby that reflects his practical interest in squeezing every bit of performance from silicon.
9 years of coding experience
2 years of employment as a software developer
Bachelorโs Degree, Computer Science, Bachelorโs Degree, Computer Science at University of Toronto
St. Aloysius Gonzaga S.S.
Chinese, English