Summary
Jiaping Zhang is a Senior Machine Learning Engineer based in San Francisco with 11 years of experience applying Bayesian thinking and design-focused data science to production ML systems. She has built and shipped generative AI, NLP, chatbot platforms, fraud and trust & safety models, and recommendation/search systems across companies like Gemini and Atlassian, and previously led large-scale forecasting and SRE-focused ML at Salesforce. Her background blends rigorous academic training (MS in Computer Science and Statistics from UC Davis) with hands-on work in human-in-the-loop systems, causal and Bayesian inference, and on-chain analytics for emerging NFT use cases. Known for a bias toward action, she pairs experimentation-driven product work with principled probabilistic modeling, and contributed to an Alexa Prize–winning university dialogue system early in her career. Practical, cross-disciplinary, and research-savvy, she frequently translates complex infrastructure and behavioral data into operational ML that scales.
10 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of California, Davis
Statistics Concentration Statistics, Statistics Concentration Statistics at Beijing Normal-Hong Kong Baptist University
Deep Learning Nanodegree Foundation, Deep Learning Nanodegree Foundation at Udacity
Chinese, Chinese, English