Summary
Wei Tan is a computer vision and AI practitioner with a Ph.D. and over a decade of experience turning research into production-ready systems across transportation, surveillance, and industry deployments. He has engineered high-accuracy, real-time models (e.g., 95%+ passenger counting and vehicle/person detection, 99% ANPR) and led cost-effective data collection and active learning strategies that cut labeling and training overhead by up to 70%. Recently he built OCR+LLM pipelines for invoice and chat-screenshot extraction achieving ~90% accuracy and sub-3-second processing, and has consulted on RAG and AI agent designs for clients. As a Sessional Lecturer and former postdoc, he blends rigorous academic grounding with hands-on cloud deployment experience (AWS, Jetson Nano) to ensure models work in the wild. Colleagues value him for pragmatic solutions that focus on data efficiency and real-world constraints rather than bench-top benchmarks.
10 years of coding experience
5 years of employment as a software developer
Doctor of Engineering, Mathematics and Computer Science, Doctor of Engineering, Mathematics and Computer Science at Shinshu University
Master of Computer Science, Computer Science, Master of Computer Science, Computer Science at University of Malaya