Summary
Hua Huang is a software engineer in San Francisco with nine years combining machine learning research and production engineering across ads, infra, and cloud conversational AI. He holds a PhD in Applied Mathematics and has a strong track record applying deep learning and reinforcement learning to autonomous driving, ads ranking, and anomaly detection. At Twitter he improved ads pacing and forecasting—lifting revenue and cutting overspend through a PID-based controller and a fast pacing simulator—and now works on Cloud Conversational AI at Google. Technically fluent in Python, C++, Java, TensorFlow, PyTorch, Scala, Kubernetes, MPI and OpenMP, he bridges high-performance computing techniques from his HPC background with ML productionization. Notably, his research on compact support neural nets and extensive trajectory labeling underpins practical uncertainty-aware models for safety-critical settings. He combines academic rigor with a product-oriented mindset that consistently turns research ideas into scalable systems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Florida State University
Bachelor's Degree, Aerospace Engineering, Bachelor's Degree, Aerospace Engineering at Xi'an Jiaotong University
Master's Degree, Aerospace Engineering, Master's Degree, Aerospace Engineering at Shanghai Jiao Tong University