Wenjie Zi holds a Master’s degree in Computer Science from the University of Toronto, specializing in Natural Language Processing (NLP). Currently, she serves as a Senior Applied AI Engineer at Grammarly, bringing over ten years of industrial experience in artificial intelligence applications. Wenjie has successfully implemented and deployed various projects, including Retrieval Augmented Generation (RAG), recommendation systems, semantic parsing (natural language to SQL), and quantitative trading.

Her research has been published in leading conferences and workshops such as ACL, NeurIPS, and KDD. Additionally, Wenjie is a course instructor for the certificate program at the University of Toronto, where she teaches deep learning-related subjects.

In her spare time, Wenjie actively participates in the Canadian AI community, serving as a committee member of MLOps World and as the lead of the Women in AI Canada Sponsorship team. She co-founded the Toronto AI Practitioners Network (TAPNET) in early 2024 and has organized multiple conferences with over 100 participants, aiming to connect technology practitioners across North America.