Summary
Weiping Zhang is a data scientist with nine years of experience building AI-first products, currently leading development of VLM- and RAG-powered document processing and agent systems in Shenzhen. He combines a strong foundation in statistics and financial engineering with hands-on expertise in OCR, NLP, LLM fine-tuning, and multi-agent planners, having moved from quantitative research roles into AI product architecture and team leadership. As Director of Engineering for AYR in China he drove IDP-focused deep learning explorations and recruitment, and now leads cross-functional teams to integrate RPA, websockets, and VLMs into practical A2A and planner agents. He brings a pragmatic focus on productionization—standardizing training pipelines and improving inference efficiency—while still enjoying experimentation and continuous learning. Adept at translating research into deployable systems, he mixes quantitative rigor with a creative, product-minded engineering approach.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at University of Science and Technology of China
Master of Business - MS, Financial engineering, 4.0/4.0, Master of Business - MS, Financial engineering, 4.0/4.0 at Stevens Institute of Technology
English, Chinese