Summary
Wencheng Zhao is an AI/ML Engineer based in Palo Alto with six years of experience building production-grade machine learning and cloud-native systems. Currently contributing to Google's Gemini Cloud Assist Chat, he works across model training, fine-tuning, inference, prompt engineering and evaluation to deliver conversational AI at scale. Previously at VMware he designed and optimized multi-cloud data platforms and real-time pipelines using Go, Python, Java, C++, Kafka, Spark, Kubernetes and Terraform, achieving measurable cost and performance gains. He holds an MS in Computer Science from Baruch and a BS in Business Analytics from Xiamen University, blending strong engineering rigor with data-driven product thinking. Known for bridging model-centric ML work with robust cloud infrastructure, he brings both research-oriented ML skills and deep operational experience to production AI deployments.
6 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.80/4.00, Master of Science - MS, Computer Science, 3.80/4.00 at Baruch College
Bachelor's degree, Business Analytics, 3.75/4.00, Bachelor's degree, Business Analytics, 3.75/4.00 at Xiamen University
Chinese, German, English, French