Qiming Bao is a Junior AI Software Engineer and PhD researcher based in Auckland with eight years’ experience building and optimizing multimodal NLP systems. At Xtracta he extended LayoutLMv3 into LongLayoutLMv3—scaling sequence length to 4096 with sliding-window and global attention tricks—delivering measurable F1 gains and lower GPU memory use, and reproduced Microsoft’s multi-task pretraining pipelines that weren’t open-sourced. His work blends rigorous academic research in machine reasoning and LLMs (PhD under Witbrock at UoA) with hands-on engineering, from conversion utilities for model variants to ensemble and fuzzy-matching pipelines for document extraction. He has a strong track record of teaching and mentoring across university courses and PhD students, and an earlier R&D role building NLP services for affective robotics, reflecting a knack for translating research into production-ready systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Laws - LLB, Intellectual Property Law, A, Bachelor of Laws - LLB, Intellectual Property Law, A at China Jiliang University
Bachelor of Science - BS, Computer Information Science, A, Bachelor of Science - BS, Computer Information Science, A at Auckland University of Technology
Bachelor of Science - BS (Honours), Computer Science (First Class), Bachelor of Science - BS (Honours), Computer Science (First Class) at The University of Auckland
Contributions:134 pushes, 1 branch in 1 year 11 months
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Qiming Bao - Junior AI Software Engineer at Xtracta