Summary
Sheng Zhang is an Applied Scientist with eight years of experience bridging rigorous statistics and machine learning, currently working in AWS AI Labs after internships across Amazon's Core AI and Alexa teams. He holds a PhD in Statistics from North Carolina State University and a mathematics BSc from Zhejiang University, bringing strong theoretical grounding to practical ML and deep learning problems. Sheng focuses on data analysis, NLP, and probabilistic modeling, and enjoys coding up math-heavy solutions—reflected in a GitHub persona that highlights both coding and a fondness for mathematical approaches. At AWS he applies research-driven methods to production-scale challenges, often translating academic ideas into deployable AI features for cloud and voice platforms.
8 years of coding experience